Paper Info
Title
On The Use Of Shadows In Stance Recovery
Abstract
The image of an object and of the shadow it casts on a planar surface provides important cues for three-dimensional (3D) stance recovery. We assume that the position of the plane on which the shadow lies with respect to a pinhole camera is known and that the position of the light source is unknown, If the light source is sufficiently far away that parallel projection may be assumed, then knowledge of two point correspondences between images of feature points and Images of their shadows is enough to determine the position of the object and the direction of the light source. If the light source is close enough that the shadow points are obtained via perspective projection, then there is a one-parameter infinite family of solutions for the position of the object and the light source. Determining the stance of an object is highly sensitive to noise, so we provide algorithms for stance recovery that take into account known information about the object. In our experiments, the errors for the location of the 3D feature points obtained by these algorithms are generally less than 0.2% times the error in pixels in the Image points and the errors for the 3D directions of the links is roughly 0.04 degrees times the error in pixels, normalized by the distance to the object from the camera and the length of the link. (C) 2001 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 11, 315-330, 2000.
Year
DOI
Venue
2000
10.1002/ima.1016
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
Field
DocType
Volume
Pinhole camera,Computer vision,Shadow,Normalization (statistics),Computer science,Perspective (graphical),Shadow IT,Planar,Artificial intelligence,Pixel,Parallel projection
Journal
11
Issue
ISSN
Citations 
5
0899-9457
4
PageRank 
References 
Authors
1.09
4
4
Name
Order
Citations
PageRank
Alfred Bruckstein14104445.45
Robert J. Holt219335.02
Yves D. Jean3406.67
Arun N. Netravali4506154.58