Skip to main content
Article thumbnail
Location of Repository

SEEMORE: A View-Based Approach to 3-D Object Recognition Using Multiple Visual Cues

By Bartlett W. Mel


A neurally-inspired visual object recognition system is described called seemore, whose goal is to identify common objects from a large known set---independent of 3-D viewing angle, distance, and non-rigid distortion. seemore's database consists of 100 objects that are rigid (shovel), non-rigid (telephone cord), articulated (book), statistical (shrubbery), and complex (photographs of scenes). Recognition results were obtained using a set of 102 color and shape feature channels within a simple feedforward network architecture

Publisher: MIT Press
Year: 1996
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.