On the estimation of optical flow: relations between different approaches and some new results
Artificial Intelligence
Integration of visual modules: an extension of the Marr paradigm
Integration of visual modules: an extension of the Marr paradigm
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Computing perceptual organization in computer vision
Computing perceptual organization in computer vision
Object pose from 2-D to 3-D point and line correspondences
International Journal of Computer Vision
Digital Image Processing: Concepts, Algorithms, and Scientific Applications
Digital Image Processing: Concepts, Algorithms, and Scientific Applications
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
COMVIS: A Communication Framework for Computer Vision
International Journal of Computer Vision
Edge Detection by Helmholtz Principle
Journal of Mathematical Imaging and Vision
Tracking with a Novel Pose Estimation Algorithm
RobVis '01 Proceedings of the International Workshop on Robot Vision
IEEE Transactions on Signal Processing
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The human visual system is a highly interconnected machinery that acquires its stability through integration of information across modalities and time frames. This integration becomes possible by utilizing regularities in visual data, most importantly motion (especially rigid body motion) and statistical regularities reflected in Gestalt principles such as collinearity.In this paper we describe an artificial vision system which extracts 3D- information from stereo sequences. This system uses deterministic and statistical regularities to aquire stable representations from unreliable sub-modalities such as stereo or edge detection. To make use of the above mentioned regularities we have to work within a complex machinery containing sub-modules such as stereo, pose estimation and an accumulation scheme. The interaction of these modules allows to use the statistical and deterministic regularities for feature disambiguation within a process of recurrent predictions.