Closed form solutions to image flow equations for planar surfaces in motion
Computer Vision, Graphics, and Image Processing
Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
International Journal of Computer Vision
Detection and Modeling of Buildings from Multiple Aerial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Warping
Detecting Objects, Shadows and Ghosts in Video Streams by Exploiting Color and Motion Information
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Detection of moving cast shadows for object segmentation
IEEE Transactions on Multimedia
Camera calibration and geo-location estimation from two shadow trajectories
Computer Vision and Image Understanding
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We investigate segmentation of planar objects and their cast shadows in image sequences. Given two moving image regions in an image sequence we present an algorithm for determining if the two moving regions can be interpreted as a planar object and its cast shadow. Projective geometry and motion properties are employed to directly recover a homology that constrains point correspondences of the outlines of the image regions and determine if they obey an object/shadow relationship. This homology is derived directly from the motions of the regions and therefore is easier to accomplish than determining point-to-point correspondences between candidate object-shadow pairs. Several experiments under approximate point light source illumination are presented.