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Updated: May 23, 2026
09:39
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
Published on: November 18, 2019
Spatiotemporal stereo and scene flow via stequel matching
Mikhail Sizintsev1, Richard P Wildes
1Department of Computer Science and Engineering and the Center for Vision Research, York University, 4700 Keele Street, Toronto, Ontario M3J 1P3, Canada. sizints@cse.yorku.ca
Summary
This study introduces spatiotemporal quadric elements (stequels) for robust 3D structure and motion recovery from stereo images. Stequel matching enhances temporal coherence in disparity and scene flow estimation.
Area of Science:
- Computer Vision
- Robotics
- 3D Reconstruction
Background:
- Accurate 3D scene understanding from stereo images is crucial for robotics and autonomous systems.
- Existing methods often struggle with temporal coherence and explicit motion recovery.
Purpose of the Study:
- To develop a novel method for recovering temporally coherent 3D structure and motion from binocular stereo image sequences.
- To introduce spatiotemporal quadric elements (stequels) as a robust primitive for matching and estimation.
Main Methods:
- Matching of spatiotemporal quadric elements (stequels) between binocular views.
- Development of match constraints for establishing stequel correspondence.
- Utilizing matched stequels for disparity and scene flow estimation.
Main Results:
- Temporally coherent disparity estimates are achieved without explicit motion recovery.
- Matched stequels directly support the recovery of 3D scene flow.
- Algorithmic evaluation demonstrates significant benefits over alternative temporal coherence methods.
Conclusions:
- Stequels provide an effective primitive for enhancing temporal coherence in 3D computer vision tasks.
- The proposed method offers advantages for both disparity estimation and 3D scene flow recovery.
- Stequel matching represents a valuable advancement in dynamic scene analysis from stereo imagery.
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