Computer Analysis of Images and Patterns: 12th International Conference, CAIP 2007, Vienna, Austria, August 27-29, 2007, Proceedings (Lecture Notes in Computer Science (4673))

Cover......Page p0001.djvu Lecture Notes in Computer Science 4673......Page p0002.djvu Computer Analysis of Images and Patterns......Page p0003.djvu Preface......Page p0005.djvu CAIP 2007 Organization......Page p0007.djvu Table of Contents......Page p0010.djvu Computer vs. Human Vision......Page p0020.djvu Nature of Perceptual Representation of 3D Shapes......Page p0021.djvu Role of Learning......Page p0022.djvu Invariants......Page p0023.djvu Surfaces and Depth Cues......Page p0024.djvu Shape Parts......Page p0025.djvu A Priori Constraints......Page p0026.djvu A New Theory of 3D Shape Reconstruction......Page p0027.djvu References......Page p0029.djvu Introduction......Page p0032.djvu Connection Geometry in the Plane......Page p0033.djvu Oriented) Textures and Co-helicity......Page p0034.djvu Stereo......Page p0036.djvu References......Page p0038.djvu Introduction......Page p0039.djvu Line Model Generation......Page p0040.djvu Edge Map Generation Using Laplacian Filtering of the z-buffer......Page p0041.djvu Edge Map Generation Using the Frame Buffer......Page p0042.djvu Experimental Results......Page p0043.djvu Conclusion......Page p0045.djvu References......Page p0046.djvu Introduction......Page p0047.djvu Background Subtraction Using MGM......Page p0048.djvu Background Subtraction Using SMM......Page p0049.djvu Spatial Image Segmentation......Page p0050.djvu Combining SMM with Spatial Image Segmentation......Page p0051.djvu Experimental Results......Page p0052.djvu References......Page p0054.djvu Introduction......Page p0055.djvu Detection of Spiral Grain in CT Cross-Section Images......Page p0056.djvu Results......Page p0057.djvu References......Page p0062.djvu Introduction......Page p0064.djvu Image-Data Reduction......Page p0065.djvu Stochastic Appearance Observation......Page p0066.djvu Eyelid and Iris Tracking......Page p0067.djvu Experimental Results......Page p0069.djvu Conclusions......Page p0070.djvu References......Page p0071.djvu Introduction......Page p0072.djvu Temporal Integration......Page p0073.djvu Integration of Multiple Spatial Scales......Page p0074.djvu Results......Page p0075.djvu Discussion and Conclusion......Page p0078.djvu References......Page p0079.djvu Introduction......Page p0080.djvu Optical Flow Computation ......Page p0081.djvu Numerical Scheme and Its Stability ......Page p0083.djvu Numerical Examples ......Page p0085.djvu Conclusions......Page p0086.djvu References......Page p0087.djvu Introduction......Page p0088.djvu Band Selection......Page p0089.djvu Extraction of Dominant Elements......Page p0090.djvu Probability Measurement and Synthesis......Page p0091.djvu Experiments......Page p0092.djvu References......Page p0094.djvu Introduction......Page p0096.djvu Change-Driven Data Flow Processing......Page p0097.djvu Original Algorithm......Page p0098.djvu Change-Driven Data Flow Algorithm......Page p0100.djvu Experimental Results......Page p0101.djvu References......Page p0103.djvu Introduction......Page p0104.djvu Model......Page p0105.djvu Observation Model......Page p0106.djvu Spatiotemporal Constraint......Page p0107.djvu Parameter and Optimization......Page p0108.djvu Results......Page p0109.djvu Conclusion......Page p0110.djvu References......Page p0111.djvu Related Work......Page p0112.djvu Proposed Behavior Representation and Recognition......Page p0113.djvu Experimental Results......Page p0116.djvu References......Page p0118.djvu Introduction......Page p0120.djvu Our Action Dataset......Page p0122.djvu Feature Sets......Page p0123.djvu Quantitative Analysis......Page p0124.djvu Conclusions......Page p0126.djvu References......Page p0127.djvu Introduction......Page p0128.djvu SfM Under Weak Perspective......Page p0129.djvu Relative Motion of Two Objects......Page p0130.djvu Fitting Coaxial Circles to 3D Points......Page p0131.djvu Experiments on Synthetic Data......Page p0132.djvu Experiments on Real Data......Page p0133.djvu References......Page p0134.djvu Introduction......Page p0136.djvu DSm Hybrid Model......Page p0137.djvu Dynamic Frame of Discernment......Page p0138.djvu Experimental Results......Page p0140.djvu References......Page p0142.djvu Introduction......Page p0144.djvu Related Work......Page p0145.djvu Image Model......Page p0146.djvu Approach 2: A Global Transmission Metric......Page p0147.djvu Implementation......Page p0148.djvu Simulated Data......Page p0149.djvu Microscopy Data......Page p0150.djvu References......Page p0151.djvu Introduction......Page p0152.djvu Related Work......Page p0153.djvu Goal Ontology......Page p0154.djvu Domain Ontology......Page p0155.djvu Test Case......Page p0156.djvu Conclusion......Page p0158.djvu Introduction ......Page p0160.djvu Perspective Rectification Using a Vanishing Point ......Page p0161.djvu 3D Reconstruction Using Sub-pixel Precision ......Page p0163.djvu Mapping Algorithm ......Page p0164.djvu Experimentation and Results ......Page p0165.djvu Conclusions ......Page p0166.djvu References......Page p0167.djvu Introduction......Page p0168.djvu Geometry of Circularly Motion Capture System......Page p0169.djvu Track--Before--Detect Algorithm for Motion Capture Systems......Page p0170.djvu TBD System Without Optimization (Full Frame Processing)......Page p0171.djvu TBD System with Separate Optimization......Page p0172.djvu TBD System with Multiple Camera Optimization......Page p0173.djvu Comparison Example......Page p0174.djvu References......Page p0175.djvu Introduction......Page p0176.djvu Shape Model......Page p0177.djvu Motion Model......Page p0178.djvu Measurement Assimilation and State Update......Page p0179.djvu Results ......Page p0180.djvu Conclusion......Page p0182.djvu References......Page p0183.djvu Introduction......Page p0184.djvu Methods......Page p0185.djvu Correction of Illumination and Intensity Inhomogeneity......Page p0186.djvu Evaluation......Page p0187.djvu Conclusion......Page p0189.djvu References......Page p0190.djvu Introduction......Page p0192.djvu Decomposition into -propeller and Stalk......Page p0194.djvu Extracting the Stalk Curve Representation......Page p0195.djvu Measurements......Page p0196.djvu Conclusion......Page p0198.djvu References......Page p0199.djvu Introduction......Page p0200.djvu The Problem......Page p0201.djvu Compression and Storage......Page p0202.djvu Register......Page p0204.djvu Navigation......Page p0205.djvu Conclusions and Discussion......Page p0206.djvu References......Page p0207.djvu Introduction......Page p0208.djvu Image Database......Page p0209.djvu Feature Selection......Page p0210.djvu Experimental Results......Page p0212.djvu Comparing with a Classification Rate Method......Page p0213.djvu Summary......Page p0214.djvu References......Page p0215.djvu Introduction......Page p0216.djvu Materials and Methods......Page p0217.djvu Peak Alignment......Page p0218.djvu Results......Page p0219.djvu Discussion......Page p0221.djvu References......Page p0222.djvu Introduction......Page p0224.djvu Pelvis Atlas......Page p0225.djvu Edge Segment Extraction......Page p0226.djvu Estimation of Possible Correspondence......Page p0227.djvu Computation of Optimal Transformations......Page p0228.djvu Experiment and Discussion......Page p0229.djvu Conclusion......Page p0230.djvu References......Page p0231.djvu Introduction......Page p0232.djvu Assessment of Cardiac Rigid Motion Compensation......Page p0233.djvu Phantom Data......Page p0236.djvu Experimental Data......Page p0237.djvu Discussion and Conclusions......Page p0238.djvu References......Page p0239.djvu Introduction......Page p0240.djvu Image Segmentation and Feature Extraction......Page p0241.djvu Nuclei Classification......Page p0243.djvu Results......Page p0244.djvu Discussion and Conclusion......Page p0245.djvu References......Page p0246.djvu Introduction and State of the Art......Page p0248.djvu Evaluation Study......Page p0249.djvu Classic Similarity Measures......Page p0250.djvu Distance Based Similarity Measures......Page p0251.djvu Similarity Measures on the Boundaries......Page p0252.djvu Global Multimodal Similarity Measure......Page p0253.djvu Discussion and Future Work......Page p0254.djvu References......Page p0255.djvu Introduction......Page p0256.djvu 2.2 Adaptive Wavelet Lung Border Highlighting......Page p0257.djvu 3D Morphological Processing......Page p0258.djvu Results......Page p0259.djvu Discussion......Page p0261.djvu References......Page p0262.djvu Introduction......Page p0264.djvu Methodology......Page p0265.djvu Results......Page p0269.djvu Conclusions and the Future Directions......Page p0270.djvu References......Page p0271.djvu Introduction......Page p0272.djvu Material and Methods......Page p0273.djvu Method......Page p0274.djvu Measurements......Page p0275.djvu Results......Page p0276.djvu Discussion......Page p0277.djvu Summary......Page p0278.djvu References......Page p0279.djvu Introduction......Page p0280.djvu Delaunay Triangulation and Meshing......Page p0281.djvu Isotropic Meshing......Page p0282.djvu Iterative Adaptation......Page p0283.djvu Experimental Results......Page p0285.djvu Conclusion......Page p0286.djvu References......Page p0287.djvu Introduction......Page p0289.djvu Local Impulse Response......Page p0290.djvu Materials and Methods......Page p0291.djvu Modified Penalty......Page p0292.djvu Results and Discussion......Page p0293.djvu References......Page p0295.djvu Introduction......Page p0297.djvu Trabecular Bone Textural Structure Description......Page p0298.djvu The Fractal Texture Description......Page p0299.djvu Results......Page p0300.djvu References......Page p0303.djvu Introduction......Page p0304.djvu AdaBoost Procedure......Page p0305.djvu Stability Criterion of the Selected Features......Page p0306.djvu Postprocessing and Segmentation of the Lumen......Page p0307.djvu Results......Page p0308.djvu References......Page p0310.djvu Introduction......Page p0312.djvu Methodology......Page p0313.djvu Experimental Results......Page p0316.djvu Conclusions and Future Work......Page p0318.djvu References......Page p0319.djvu Introduction......Page p0320.djvu Unsupervised Classification......Page p0321.djvu Synthetic Images and Deformations......Page p0322.djvu Experiment and Results......Page p0324.djvu References......Page p0326.djvu Introduction......Page p0328.djvu Method......Page p0329.djvu Results......Page p0331.djvu Conclusion......Page p0333.djvu References......Page p0334.djvu Introduction......Page p0336.djvu Adaboost......Page p0337.djvu Defining Features for Seed Detection......Page p0338.djvu Features Used for Voxel Classification......Page p0340.djvu Hierarchical Detection......Page p0341.djvu Results and Discussion......Page p0342.djvu References......Page p0343.djvu Introduction......Page p0345.djvu Emotion-Based Interactive Game......Page p0346.djvu The System Architecture......Page p0347.djvu The Intensity of Emotion......Page p0348.djvu Probabilistic-Based Game Control Model......Page p0349.djvu Testing Improvement of Child's Emotional Expression......Page p0350.djvu References......Page p0352.djvu Introduction......Page p0353.djvu The Simplified Human Vision Model......Page p0354.djvu Local Visibility Due to Texture Masking......Page p0355.djvu Local Visibility Due to Luminance Masking......Page p0356.djvu Integration Strategy......Page p0357.djvu Performance Evaluation......Page p0358.djvu References......Page p0360.djvu Introduction......Page p0361.djvu Reflectance Estimation......Page p0363.djvu Scanner Operation......Page p0364.djvu Practicalities of Measurement......Page p0365.djvu Observations......Page p0366.djvu References......Page p0368.djvu Introduction......Page p0370.djvu Previous Experiments from Another Perspective......Page p0371.djvu The Change in Identification Rate with Proportion......Page p0373.djvu Similarity Score Verses Age Difference of Two People......Page p0374.djvu Evaluations Using an Even Distribution of Different Ages......Page p0375.djvu Summary......Page p0376.djvu References......Page p0377.djvu Visual Features......Page p0379.djvu Classification by Support Vector Machine......Page p0381.djvu Conclusion and Discussion......Page p0382.djvu References......Page p0383.djvu Introduction......Page p0385.djvu Hardware Implemented Truly Random Number Generator......Page p0386.djvu Wedge and Ring (W&R) Based Fingerprint Features......Page p0388.djvu The Proposed Fingerprint Authentication Scheme......Page p0390.djvu Conclusions......Page p0391.djvu References......Page p0392.djvu Introduction......Page p0393.djvu System Overview......Page p0394.djvu Manifold Calculation from Input Data......Page p0395.djvu Manifold Re-sampling into a Predefined Number of Keypoints......Page p0397.djvu Experimental Results......Page p0398.djvu References......Page p0400.djvu Introduction......Page p0402.djvu Background Information and Related Works......Page p0403.djvu Implementing Hardened Fingerprints......Page p0405.djvu Experimental Results and Analysis......Page p0406.djvu Conclusion......Page p0408.djvu References......Page p0409.djvu Introduction......Page p0410.djvu Region Selection......Page p0411.djvu Experimental Results......Page p0413.djvu References......Page p0416.djvu Introduction......Page p0418.djvu The Surface Gradient Based Model......Page p0419.djvu The Parameter Fitting Procedure......Page p0420.djvu Experiments......Page p0421.djvu References......Page p0425.djvu Introduction......Page p0427.djvu Catmull--Rom Splines......Page p0428.djvu Representation of Facial Features......Page p0430.djvu Applications......Page p0432.djvu References......Page p0434.djvu Quantitative Mouth Shape Analysis......Page p0435.djvu Vertex Detection......Page p0436.djvu Active Contours Based Mouth Template......Page p0438.djvu Upper Lip......Page p0439.djvu Evaluation of the Contour Fitting......Page p0440.djvu References......Page p0441.djvu Introduction......Page p0443.djvu Pre-segmentation......Page p0444.djvu Histogram Construction......Page p0445.djvu Histogram Similarity......Page p0446.djvu Experiments......Page p0448.djvu References......Page p0450.djvu Introduction......Page p0451.djvu Related Work......Page p0452.djvu Our Approach......Page p0453.djvu Spatial Constraints......Page p0454.djvu Initialization......Page p0455.djvu Hierarchical Clustering......Page p0456.djvu Experimental Results......Page p0457.djvu Conclusions and Future Work......Page p0458.djvu References......Page p0459.djvu Locally Estimating the Color of the Illuminant......Page p0460.djvu Use of Anisotropic Diffusion......Page p0462.djvu Experimental Results......Page p0465.djvu References......Page p0467.djvu Introduction......Page p0469.djvu Contributions......Page p0470.djvu Algorithm......Page p0471.djvu Experiments......Page p0473.djvu References......Page p0476.djvu Introduction......Page p0477.djvu Color Space for Processing and MS Diagram......Page p0478.djvu Connected Vectorial Filters......Page p0479.djvu Algorithm for Detecting and Eliminating Specularities......Page p0480.djvu Experimental Results and Real-Time Aspects......Page p0482.djvu References......Page p0483.djvu Introduction......Page p0485.djvu Polarization in Computer Vision......Page p0486.djvu Disambiguation Using Photometric Stereo......Page p0487.djvu Experiments......Page p0490.djvu References......Page p0492.djvu Introduction......Page p0493.djvu Add (or Remove) a Point to (from) the Blurred Segment of Width ......Page p0494.djvu Definitions and First Property......Page p0495.djvu Definition......Page p0496.djvu Algorithm for the Estimation of the Curvature of Width at Each Point of C......Page p0497.djvu Conclusion......Page p0499.djvu References......Page p0500.djvu Introduction......Page p0501.djvu State-of-the-Art......Page p0502.djvu Modeling Assumption......Page p0503.djvu Motion Compensation......Page p0504.djvu Numerical Resolution......Page p0505.djvu Results......Page p0506.djvu Conclusion......Page p0507.djvu References......Page p0508.djvu Introduction......Page p0509.djvu Superellipsoids......Page p0510.djvu Fitting Using Normalization......Page p0511.djvu Normalization in 3D......Page p0512.djvu Determination of the Remaining Parameters......Page p0514.djvu Experimental Results......Page p0515.djvu References......Page p0516.djvu Introduction......Page p0517.djvu Summary of the Tomasi-Kanade Factorization......Page p0518.djvu S-Step......Page p0519.djvu Tests on Synthesized Data......Page p0520.djvu Conclusion and Future Work......Page p0523.djvu References......Page p0524.djvu Reeb Graphs and Tunnels......Page p0525.djvu Algebraic-Topological Models for 3D Objects......Page p0527.djvu Computing a Graph-with-Loop Representation of a 3D Object......Page p0529.djvu References......Page p0532.djvu Introduction......Page p0533.djvu Interest Point and Region Detectors......Page p0534.djvu Comparison of Detectors......Page p0535.djvu Displacement Estimation Based on Region Correspondence......Page p0536.djvu Accuracy of Estimated Displacements......Page p0537.djvu Classification of Print Elements......Page p0538.djvu Conclusion......Page p0539.djvu References......Page p0540.djvu Introduction......Page p0541.djvu Step 1; Filtering......Page p0542.djvu Step 3; Writing-Lines Decomposition......Page p0543.djvu Step 4; Writing-Lines Grouping......Page p0545.djvu Step 6; Full Words Concatenation......Page p0546.djvu References......Page p0548.djvu Introduction......Page p0550.djvu Problem Definition......Page p0551.djvu First Stage -- Evolutionary Algorithm......Page p0553.djvu Third Stage - Validation......Page p0554.djvu Experiments......Page p0555.djvu References......Page p0557.djvu Introduction......Page p0558.djvu Textline Extraction......Page p0559.djvu Gabor Feature Selection......Page p0560.djvu Recognition Algorithm......Page p0561.djvu Database......Page p0562.djvu Performance Evaluation......Page p0563.djvu Conclusions......Page p0564.djvu References......Page p0565.djvu Introduction......Page p0566.djvu Datasets......Page p0567.djvu Segmentation......Page p0568.djvu Classification......Page p0570.djvu Evaluation......Page p0571.djvu Conclusion......Page p0572.djvu References......Page p0573.djvu Introduction......Page p0574.djvu Extraction of Textural Features by Gabor Filtering......Page p0575.djvu Character Components Interval Tracing......Page p0577.djvu Experimental Results......Page p0579.djvu Conclusion......Page p0580.djvu References......Page p0581.djvu Introduction......Page p0582.djvu Grey Level Estimation......Page p0583.djvu Thresholding with Simultaneous Grey Level Estimation......Page p0585.djvu Results and Discussion......Page p0587.djvu References......Page p0589.djvu Motivation......Page p0590.djvu Level Sets Methods and Speed Functions......Page p0591.djvu Bridging Gaps in Data......Page p0592.djvu Experimental Results......Page p0594.djvu Conclusions......Page p0596.djvu References......Page p0597.djvu Introduction......Page p0598.djvu The Marker-Based Watershed......Page p0599.djvu Proposed Method......Page p0600.djvu Results......Page p0602.djvu Conclusion......Page p0604.djvu References......Page p0605.djvu Introduction......Page p0606.djvu Alpha Complexes and Delaunay Triangulations......Page p0607.djvu Persistent Homology......Page p0608.djvu Segmentation Algorithm......Page p0609.djvu Results......Page p0611.djvu Related Work......Page p0612.djvu References......Page p0613.djvu Introduction......Page p0615.djvu The Incremental Variational Bayesian Method......Page p0617.djvu Experimental Results......Page p0621.djvu References......Page p0622.djvu Introduction......Page p0623.djvu Univariate Gaussian Distribution Mixture Model......Page p0624.djvu Model-Based Segmentation......Page p0625.djvu Synthetic Images......Page p0627.djvu Simulated MS Lesion Brain Images......Page p0628.djvu Conclusions......Page p0629.djvu References......Page p0630.djvu Introduction......Page p0631.djvu Segmentation by Watersheds Revisited......Page p0632.djvu Edges......Page p0633.djvu Height Map......Page p0635.djvu Skeleton......Page p0636.djvu Results......Page p0637.djvu References......Page p0638.djvu Introduction......Page p0639.djvu Orientability Measures......Page p0640.djvu Geometric Methods......Page p0641.djvu Experiments......Page p0644.djvu References......Page p0646.djvu Introduction......Page p0647.djvu The New Thinning Algorithm......Page p0648.djvu Discussion and Results......Page p0652.djvu References......Page p0654.djvu Introduction......Page p0655.djvu Contributing Drainage Area in Hydrology......Page p0656.djvu Outlet Definition and Region of Interest......Page p0657.djvu Generation of Geodesic Mask......Page p0658.djvu From Geodesic Time Function to Drainage Areas......Page p0660.djvu Conclusion and Perspectives......Page p0661.djvu References......Page p0662.djvu Active Shape Models......Page p0664.djvu Fractal Interpolation......Page p0665.djvu Fractal Active Shape Models......Page p0667.djvu Results......Page p0669.djvu Conclusions and Further Work......Page p0670.djvu References......Page p0671.djvu Introduction......Page p0672.djvu ECC of Basic Shapes......Page p0673.djvu Ellipse......Page p0674.djvu Rectangle......Page p0677.djvu Elongated Shape......Page p0678.djvu References......Page p0679.djvu Introduction......Page p0680.djvu The Original RBA......Page p0681.djvu Non-existence of an Exact Arithmetic Algorithm......Page p0682.djvu Approximate Algorithms......Page p0683.djvu References......Page p0687.djvu Introduction......Page p0688.djvu Contour Detection......Page p0689.djvu Ellipse Fitting......Page p0690.djvu Ellipse Fitting with 3 Points......Page p0691.djvu Robust Candidate Sequence......Page p0692.djvu Experiments and Comparison......Page p0693.djvu Conclusion......Page p0694.djvu References......Page p0695.djvu Introduction......Page p0696.djvu The Standard Method......Page p0697.djvu An Alternative Approach......Page p0698.djvu Orientation of Compound Objects......Page p0699.djvu References......Page p0703.djvu Introduction......Page p0705.djvu Appearance......Page p0706.djvu Cost Function Components......Page p0707.djvu 1D Search Algorithm......Page p0708.djvu Results of Crossection Detection......Page p0709.djvu 1 D Repeatability Study......Page p0710.djvu Conclusion......Page p0711.djvu References......Page p0712.djvu Introduction......Page p0713.djvu Shape Modelling and Search Space......Page p0714.djvu Fixing Points to Drive the Search: Method......Page p0716.djvu Experiments and Results......Page p0718.djvu Conclusions and Future Work......Page p0719.djvu References......Page p0720.djvu Introduction......Page p0721.djvu The HOAC `Gas of Circles' Model......Page p0722.djvu Phase Fields and the `Gas of Circles' Model......Page p0723.djvu The Phase Field Inflection Point `Gas of Circles' Model......Page p0724.djvu Tree Crown Extraction......Page p0725.djvu Experimental Results......Page p0726.djvu References......Page p0728.djvu Introduction......Page p0729.djvu Prior Work on Shape Recognition......Page p0730.djvu Shape Representation Using a Set of Signatures ......Page p0731.djvu Shape Similarity Evaluation......Page p0732.djvu Experimental Results......Page p0734.djvu Conclusions......Page p0735.djvu References......Page p0736.djvu Introduction......Page p0737.djvu Method......Page p0738.djvu Discussion and Conclusions......Page p0742.djvu References......Page p0744.djvu Basics......Page p0745.djvu The Algorithm......Page p0748.djvu Time Complexity of the Algorithm......Page p0750.djvu References......Page p0752.djvu Introduction......Page p0753.djvu Definition of the Velocity Function on Skeleton......Page p0754.djvu Extracting Tree-Like Structure from the Skeleton......Page p0755.djvu Matching the Velocity Vectors and Computing Fine-Grain Level Distances......Page p0756.djvu Matching Descriptor Structures in the Coarse-Grain Level......Page p0757.djvu Experimental Results......Page p0758.djvu Conclusion and Future Work......Page p0759.djvu References......Page p0760.djvu Introduction......Page p0761.djvu Formulation of the Contour Interpolation Problem......Page p0762.djvu Univariate Approaches......Page p0763.djvu Geodesic Time Function......Page p0764.djvu Linear Interpolation Using Geodesic Time......Page p0765.djvu Results and Discussion......Page p0766.djvu References......Page p0768.djvu Introduction......Page p0770.djvu Notation and Definitions......Page p0771.djvu Finding Rotation with Known Axis......Page p0772.djvu Improving the Performance......Page p0773.djvu Rigid Body Registration......Page p0774.djvu Experimental Results......Page p0775.djvu Conclusion......Page p0776.djvu References......Page p0777.djvu Introduction and Related Work......Page p0778.djvu 2D/3D Image Registration......Page p0780.djvu In-Plane and Out-of-Plane Registration......Page p0781.djvu Results and Discussion......Page p0782.djvu References......Page p0785.djvu Introduction......Page p0787.djvu B-Spline Representation of the Deformation......Page p0788.djvu Pseudo-inversion Algorithm......Page p0789.djvu Results......Page p0791.djvu Conclusion......Page p0793.djvu References......Page p0794.djvu Introduction......Page p0795.djvu Robust Image Reconstruction......Page p0796.djvu Robust Symmetric Least-Square Matching......Page p0798.djvu Experimental Results and Conclusions......Page p0800.djvu References......Page p0802.djvu Introduction......Page p0803.djvu Problem Description......Page p0804.djvu The Transiently Chaotic Neural Network......Page p0805.djvu String Matching Using Hopfield Neural Network......Page p0806.djvu Experimental Results......Page p0807.djvu References......Page p0810.djvu Introduction......Page p0811.djvu Derivation of a Variational Approximation to the MI......Page p0812.djvu Effective Realization of the Variational Approximation......Page p0813.djvu Experimental Results......Page p0816.djvu References......Page p0818.djvu Introduction......Page p0820.djvu Fast Block-Matching ME Methods......Page p0821.djvu Cross-Half-Diamond Low Resolution Search: An Improvement of CDHS......Page p0822.djvu Efficient-Hexagonal-Inner Search......Page p0823.djvu Experimental Results......Page p0824.djvu References......Page p0826.djvu Introduction......Page p0828.djvu Spectral Eigenfeature Extraction Using Two-Step PCA......Page p0829.djvu Training of PCA Matrices......Page p0830.djvu Dataset......Page p0831.djvu Spectral Features......Page p0832.djvu Matching Experiments......Page p0833.djvu Discussion......Page p0834.djvu References......Page p0835.djvu Introduction......Page p0836.djvu Related Work......Page p0837.djvu HDR Image Registration......Page p0838.djvu Experiments......Page p0839.djvu Conclusion......Page p0840.djvu References......Page p0841.djvu Introduction......Page p0842.djvu Graphs......Page p0843.djvu Auxiliary Matching Structure......Page p0844.djvu Modelling the Interference Amplitudes......Page p0845.djvu Experiments......Page p0847.djvu References......Page p0849.djvu Introduction......Page p0851.djvu Motion Segmentation......Page p0852.djvu Feature Extraction......Page p0854.djvu Methodology......Page p0855.djvu Results and Discussion......Page p0856.djvu Conclusion......Page p0857.djvu References......Page p0858.djvu Introduction......Page p0859.djvu PCA and Probabilistic PCA......Page p0860.djvu Regularized Discriminant Analysis......Page p0861.djvu Variable Weighting and Relevance Criteria......Page p0862.djvu Toy Data......Page p0863.djvu Nailfold Capillaroscopic (NC) Images......Page p0864.djvu NIST-38 Digit Recognition......Page p0865.djvu References......Page p0866.djvu Introduction......Page p0867.djvu Intra-layer Prediction......Page p0868.djvu Inter-layer Prediction......Page p0870.djvu Prediction Mode Decision......Page p0871.djvu Results and Discussion......Page p0872.djvu Conclusion......Page p0873.djvu References......Page p0874.djvu Introduction......Page p0875.djvu General Moments......Page p0876.djvu Implicit Moment Invariants......Page p0877.djvu Implementation of the Implicit Invariants......Page p0878.djvu Numerical Experiments......Page p0879.djvu References......Page p0882.djvu Introduction......Page p0883.djvu Continuous Wavelet Transform......Page p0884.djvu Gridding Procedure......Page p0885.djvu Results and Discussion......Page p0887.djvu Conclusion......Page p0888.djvu References......Page p0889.djvu Introduction......Page p0890.djvu Material and Methods......Page p0891.djvu Result......Page p0893.djvu Discussion......Page p0895.djvu References......Page p0896.djvu Introduction......Page p0897.djvu An Overview of CT and Terahertz CT......Page p0898.djvu Two Dimensional Wavelet Based CT Reconstruction......Page p0899.djvu Implementation Issues......Page p0900.djvu Local Reconstruction of Off-Centered Region......Page p0902.djvu References......Page p0903.djvu Introduction......Page p0905.djvu Related Work and Context......Page p0907.djvu Multiresolution Analysis and Diffusion Wavelets......Page p0908.djvu Nonlinear Approximation on Graphs Using Diffusion Wavelets......Page p0909.djvu Example......Page p0910.djvu Conclusion and Further Work......Page p0911.djvu References......Page p0912.djvu Introduction......Page p0914.djvu Analyzing the Joint Histograms of Wavelet Coefficients......Page p0916.djvu The Proposed Model for Wavelet-Coefficients Distributions......Page p0918.djvu Experimental Results......Page p0919.djvu Conclusions......Page p0920.djvu References......Page p0921.djvu Introduction......Page p0922.djvu Fast Forward and Inverse Algorithms of Sliding DCT......Page p0923.djvu Signal Restoration in the Domain of Sliding DCT......Page p0924.djvu Computer Simulation Results......Page p0927.djvu References......Page p0929.djvu Introduction......Page p0931.djvu Experimental Evaluation......Page p0932.djvu Experiment 2: Automatic Selection of Methods......Page p0933.djvu Discussion......Page p0935.djvu Conclusions......Page p0937.djvu References......Page p0938.djvu Int