A framework for estimation of motion parameters from range image
Computer Vision, Graphics, and Image Processing
Analysis and interpretation of range images
Analysis and interpretation of range images
Rigid body motion from range image sequences
CVGIP: Image Understanding
Dynamic integration of height maps into a 3D world representation from range image sequences
International Journal of Computer Vision - Special issue on machine vision research at Osaka University
Active vision
The computation of optical flow
ACM Computing Surveys (CSUR)
Surface correspondence and motion computation from a pair of range images
Computer Vision and Image Understanding
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonrigid motion analysis: articulated and elastic motion
Computer Vision and Image Understanding
Edge detection in range images based on scan line approximation
Computer Vision and Image Understanding
An Adaptive Contour Closure Algorithm and Its Experimental Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Estimation of Range Flow on Deformable Shape From a Video Rate Range Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Geometric matching of 3D objects: assessing the range of successful initial configurations
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Some Further Results of Experimental Comparison of Range Image Segmentation Algorithms
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Comparing Curved-Surface Range Image Segmenters
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Segmentation of Range Data into Rigid Subsets Using Surface Patches
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Detecting 3-D motion field from range image sequences
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the problem of correspondence in range data and some inelastic uses for elastic nets
IEEE Transactions on Neural Networks
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Traditionally, feature extraction and correspondence determination are handled separately in motion analysis of (range) image sequences. The correspondence determination methods have typically an exponential computational complexity. In the present paper we introduce a novel framework of motion analysis that unifies feature extraction and correspondence determination in a single process. Under the basic assumption of a small relative motion between the camera and the scene, feature extraction is solved by refining the segmentation result of the previous frame. This way correspondence information becomes directly available as a by-product of the feature extraction process. Due to the coupled processing of frames we also enforce some degree of segmentation stability. First results on real range image sequences have demonstrated the potential of our approach.