Phase-based disparity measurement
CVGIP: Image Understanding
Techniques for disparity measurement
CVGIP: Image Understanding
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Performance of optical flow techniques
International Journal of Computer Vision
Recursive Filters for Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of phase-based algorithms for disparity estimation
Machine Vision and Applications - Special issue on performance evaluation
ACM Computing Surveys (CSUR)
Computer and Robot Vision
Stability of Phase Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Development of a video-rate stereo machine
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
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The analysis of the depth coordinates of objects in a visual scene is of vital importance for animals as well as in technological applications like autonomous robot navigation or product quality control. In this article we describe a phase-based algorithm for stereoscopic depth analysis which utilizes IIR-filters.1 This algorithm is especially well suited to be built into dedicated VLSI-hardware and can therefore, also be used as a fast real-time front end in any more general image processing system. Example movies which demonstrate the real-time capabilities of this algorithm can be found at: http://www.cn.stir.ac.uk/Real-Time-Stereo.