Function From Motion
.
Function From Motion.
IEEE Trans. Pattern Anal. Mach. Intell., 18(6):579-591, 1996
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Abstract
In order for a robot to operate autonomously in its environment, it must be able to perceive its environment and take actions based on these perceptions. Recognizing the functionalities of objects is an important component of this ability. In this paper, we look into a new area of functionality recognition: determining the function of an object from its motion. Given a sequence of images of a known object performing some function, we attempt to determine what that function is. We show that the motion of an object, when combined with information about the object and its normal uses, provides us with strong constraints on possible functions that the object might be performing.
Keywords
Co-authors
Bibtex Entry
@article{DuricFR96a,
title = {Function From Motion.},
author = {Zoran Duric and Jeffrey A. Fayman and Ehud Rivlin},
year = {1996},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
volume = {18},
number = {6},
pages = {579-591},
keywords = {Image analysis; Constraint theory; Computer vision; Models; Robots; Function},
abstract = {In order for a robot to operate autonomously in its environment, it must be able to perceive its environment and take actions based on these perceptions. Recognizing the functionalities of objects is an important component of this ability. In this paper, we look into a new area of functionality recognition: determining the function of an object from its motion. Given a sequence of images of a known object performing some function, we attempt to determine what that function is. We show that the motion of an object, when combined with information about the object and its normal uses, provides us with strong constraints on possible functions that the object might be performing.}
}