On the estimation of optical flow: relations between different approaches and some new results
Artificial Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
Variational methods in image segmentation
Variational methods in image segmentation
Ambiguity in Structure from Motion: Sphere versus Plane
International Journal of Computer Vision
A Theory of Single-Viewpoint Catadioptric Image Formation
International Journal of Computer Vision
Geometric partial differential equations and image analysis
Geometric partial differential equations and image analysis
Catadioptric Projective Geometry
International Journal of Computer Vision
Epipolar Geometry for Central Catadioptric Cameras
International Journal of Computer Vision
Climate Modeling with Spherical Geodesic Grids
Computing in Science and Engineering
Voting method for the detection of subpixel flow field
Pattern Recognition Letters
Modeling Insect Compound Eyes: Space-Variant Spherical Vision
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Geometric Level Set Methods in Imaging,Vision,and Graphics
Geometric Level Set Methods in Imaging,Vision,and Graphics
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences)
A Survey of Optical Flow Techniques for Robotics Navigation Applications
Journal of Intelligent and Robotic Systems
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This paper focuses on variational optical flow computation for spherical images. It is said that some insects recognise the world through optical flow observed by their compound eyes, which observe spherical views. Furthermore, images observed through a catadioptric system with a conic mirror and a fish-eye-lens camera are transformed to images on the sphere. Spherical motion field on the spherical retina has some advantages for the ego-motion estimation of autonomous mobile observer. We provide a framework for motion field analysis on the spherical retina using variational method for image analysis.