Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Motion and Structure From Two Perspective Views: Algorithms, Error Analysis, and Error Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Performance Evaluation of Scene Registration and Stereo Matching for Artographic Feature Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A locally adaptive window for signal matching
International Journal of Computer Vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Non-parametric local transforms for computing visual correspondence
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A maximum likelihood stereo algorithm
Computer Vision and Image Understanding
International Journal of Computer Vision
ACM Computing Surveys (CSUR)
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Digital Image Processing
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
International Journal of Computer Vision
Symmetric Sub-Pixel Stereo Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Stereo Matching with Segmentation-Based Cooperation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Disparity Component Matching for Visual Correspondence
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Stereo Matching with Non-Linear Diffusion
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Stereovision depth analysis by two-dimensional motion charge memories
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Neural disparity computation for dense two-frame stereo correspondence
Pattern Recognition Letters
Performance Analysis of Cooperative Hopfield Networks for Stereo Matching
Computational Intelligence and Security
Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Stereo vision for robotic applications in the presence of non-ideal lighting conditions
Image and Vision Computing
Accurate real-time neural disparity MAP estimation with FPGA
Pattern Recognition
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The present work investigates the potential of neural adaptive learning to solve the correspondence problem within a two-frame adaptive area matching approach. A novel method is proposed based on the use of the zero mean normalized cross-correlation coefficient integrated within a neural network model which uses a least-mean-square delta rule for training.Two experiments were conducted for evaluating the neural model proposed. The first aimed to produce dense disparity maps based on the analysis of standard test images. The second experiment, conducted in the biomedical field, aimed to model 3D surfaces from a varied set of scanning electron microscope stereoscopic image pairs.