Subset selection for active object recognition
Jay Winkeler, B.S. Manjunath, and S. Chandrasekaran
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106-9560
jay [at] iplab.ece.ucsb.edu, manj [at] ece.ucsb.edu, shiv [at] ece.ucsb.edu
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106-9560
jay [at] iplab.ece.ucsb.edu, manj [at] ece.ucsb.edu, shiv [at] ece.ucsb.edu
Abstract
This paper presents an algorithm for constructing object representations suitable for recognition. The system automatically selects a representative subset of the views of the object while constructing the eigenspace basis. These views are actively located for object identification and pose determination. All processing is performed on-line. The camera is actively positioned during both representation and recognition. When tested with 240 views for each of seven objects, the system achieves 100% accurate object recognition and pose determination. These results are shown to degrade gracefully as conditions deteriorate.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 511-516, Fort Collins, CO, USA, Jun. 1999.
Node ID: 296 ,
DB ID: 93 ,
VRLID: 69 ,
Lab: VRL ,
Target: Proceedings
Subject: [Object-Based Retrieval] « Look up more