A New Technique to Extract Range Information From Stereo Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Geometries for Image Matching in 3-D Machine Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Surface Description from Binocular Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Hopfield Neural Network Based Stereo Matching Algorithm
Journal of Mathematical Imaging and Vision
Fast acquisition of dense depth data by a new structured light scheme
Computer Vision and Image Understanding
Fuzzy Cognitive Maps for stereovision matching
Pattern Recognition
Derivation of invariant scene characteristics from images
AFIPS '80 Proceedings of the May 19-22, 1980, national computer conference
Depth from edge and intensity based stereo
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Fast acquisition of dense depth data by a new structured light scheme
Computer Vision and Image Understanding
Image registration using triangular mesh
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
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An Algorithm is proposed for solving the stereoscopic matching problem. The algorithm consists of five steps: (1) Each image is filtered with bar masks of four sizes that vary with eccentricity; the equivalent filters are about one octave wide. (2) Zero-crossings of the mask values are localized, and positions that correspond to terminations are found; (3) For each mask size, matching takes place between pairs of zero- crossings or terminations of the same sign in the two images, for a range of disparities up to about the vergence movements, thus causing small masks to come into correspondence; (5) When a correspondence is achieved, it is written into a dynamic buffer, called the 2 1/2 D sketch. It is shown that this proposal provides a theoretical framework for most existing phychophysical and neurophysiological data about stereopsis. Several critical experimental predictions are also made, for instance, about the wsize of Panum?s area under various conditions. The results of such experiments would tell us whether, for example, cooperativity is necessary for the fusion process.