Cortical multiscale line-edge disparity model

Authors:
J. M. F. Rodrigues;J. A. Martins;R. Lam;J. M. H. du Buf
Affiliations:
Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal;Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal;Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal;Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal
Venue:
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Year:
2012

Citing 3
Cited 0

A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms

International Journal of Computer Vision
High-accuracy stereo depth maps using structured light

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Disparity energy model using a trained neuronal population

ISSPIT '11 Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Most biological approaches to disparity extraction rely on the disparity energy model (DEM). In this paper we present an alternative approach which can complement the DEM model. This approach is based on the multiscale coding of lines and edges, because surface structures are composed of lines and edges and contours of objects often cause edges against their background. We show that the line/edge approach can be used to create a 3D wireframe representation of a scene and the objects therein. It can also significantly improve the accuracy of the DEM model, such that our biological models can compete with some state-of-the-art algorithms from computer vision.