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Most Influential CVPR 1993 Paper · 2026-03 edition

Layered Representation For Motion Analysis

J. Y. A. Wang and E. H. Adelson

Venue
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1993
Recognition
Most Influential CVPR 1993 Paper (Rank No. 4)
Edition
2026-03
Impact factor
6
Certificate ID
263fa21ec8f03033

Abstract

Standard approaches to motion analysis assume that the optic flow is smooth; such techniques have trouble dealing with occlusion boundaries. The image sequence can be decomposed into a set of overlapping layers, where each layer's motion is described by a smooth flow field. The discontinuities in the description are then attributed to object opacities rather than to the flow itself, mirroring the structure of the scene. A set of techniques is devised for segmenting images into coherently moving regions using affine motion analysis and clustering techniques. It is possible to decompose an image into a set of layers along with information about occlusion and depth ordering. The techniques are applied to a flower garden sequence. The scene can be analyzed into four layers, and, the entire 30-frame sequence can be represented with a single image of each layer, along with associated motion parameters.<>

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