BMVC IndexRobot Stereo-hand Coordination for Grasping Curved PartsViewing Real-World ImageryA Best Next View Selection Algorithm Incorporating a Quality Criterion

View Synthesis by Trinocular Edge Matching and Transfer
View the PDF File

S. Pollard, M. Pilu, S. Hayes, A. Lorusso

Hewlett-Packard Laboratories
Bristol BS12 6QZ UK

Contact: mp@hplb.hpl.hp.com

Abstract

This paper presents a novel automatic method for view synthesis or image transfer) from a triplet of uncalibrated images based on trinocular edge matching followed by transfer by interpolation, occlusion detection and correction and finally rendering. The edge-based technique proposed here is of general practical relevance because it overcomes most of the problems encountered in other approaches that either rely upon dense correspondence, work in projective space or need explicit camera calibration. Applications range from immersive media and teleconferencing, image interpolation for fast rendering and compression.

Keywords: Image-based Rendering, Image Transfer, Edge-based Trinocular Stereo
Search the full conference index by: Title Author Keyword 
View the full paper as:  PDF 
BMVC IndexRobot Stereo-hand Coordination for Grasping Curved PartsViewing Real-World ImageryA Best Next View Selection Algorithm Incorporating a Quality Criterion

This page created by John N. Carter on 09/10/98