Shape-time photography
- 20 November 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 151
- https://doi.org/10.1109/cvpr.2003.1211465
Abstract
We introduce a new method to describe, in a single image, changes in shape over time. We acquire both range and image information with a stationary stereo camera. From the pictures taken, we display a composite image consisting of the image data from the surface closest to the camera at every pixel. This reveals the 3-d relationships over time by easy-to-interpret occlusion relationships in the composite image. We call the composite a shape-time photograph. Small errors in depth measurements cause artifacts in the shape-time images. We correct most of these using a Markov network to estimate the most probable front surface, taking into account the depth measurements, their uncertainties, and layer continuity assumptions.Keywords
This publication has 7 references indexed in Scilit:
- Computing visual correspondence with occlusions using graph cutsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Hybrid stereo cameraPublished by Association for Computing Machinery (ACM) ,2001
- A cooperative algorithm for stereo matching and occlusion detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Learning Low-Level VisionInternational Journal of Computer Vision, 2000
- A simple and efficient rectification method for general motionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Salient stills: Process and practiceIBM Systems Journal, 1996
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984