Robot vision
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Optical flow estimation: advances and comparisons
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
The Intrinsic Structure of Optic Flow Incorporating Measurement Duality
International Journal of Computer Vision
Spatio-Temporal Image Processing: Theory and Scientific Applications
Spatio-Temporal Image Processing: Theory and Scientific Applications
The Structure of the Optic Flow Field
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Large deformation diffeomorphisms with application to optic flow
Computer Vision and Image Understanding
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The optic flow field is defined such that along integral lines of the field the image intensity remains constant. For each time instance in an image sequence poles are created in the optic flow field at the position of spatial image singularities. We describe the generic flow singularities and the generic transitions of these over time. For classic analytic flow fields the classification of the generic topology is based on points of vanishing flow which can be further subdivided into repellers, attractors, whirls, and combinations hereof. We point out the resemblance, but also the important differences between the structure of the classical analytic flow field, and the structure of the optic flow field expressed through its normal flow. We conclude by giving a operational scheme for the detection of these singularities and events; and apply the scheme to two different examples within attention mechanism and the degree of turbulence in a flow field respectively.