DocumentCode
2359504
Title
Seeing physics, or: physics is for prediction [computer vision]
Author
Brand, Matthew ; Cooper, Paul ; Birnbaum, Lawrence
fYear
1995
fDate
18-19 June 1995
Firstpage
144
Abstract
We describe how knowledge of the physics of the scene itself is important to computer vision. High-level knowledge of scene physics can help programs see the world, and programs that see and understand this way are useful for planning plan scene interactions. We illustrate these points with two of our most recent knowledge-intensive vision systems. One uses knowledge of physics and function to understand noisy and ambiguous images of gear-train machines; i.e. to report what the machine does. The other uses physical knowledge to guide a robotic eye-hand system to pick up a mug of coffee by its handle
Keywords
Bridges; Computer vision; Focusing; Layout; Machine vision; Physics; Robot sensing systems; Robot vision systems; Shape; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Physics-Based Modeling in Computer Vision, 1995., Proceedings of the Workshop on
Conference_Location
Cambridge, MA, USA
Print_ISBN
0-8186-7021-5
Type
conf
DOI
10.1109/PBMCV.1995.514679
Filename
514679
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