Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Intensity- and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
An Experimental Comparison of Stereo Algorithms
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Real-time stereo vision on the PARTS reconfigurable computer
FCCM '97 Proceedings of the 5th IEEE Symposium on FPGA-Based Custom Computing Machines
View synthesis using stereo vision
View synthesis using stereo vision
Comparison of nonparametric transformations and bit vector matching for stereo correlation
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
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The paper presents a comparison of a practical implementation of some area-based stereo algorithms. There are many stereo algorithms known that employ area based processing for matching of two or more images. However, much less information is available on practical implementations and applications of such methods, as well as their advantages and limitation. The work has been done to fill this gap and facilitate choice of the right stereo algorithm for machine vision applications, often using off-the-shelf cameras