Affine coordinate based algorithm for reprojecting the human face for identification tasks

Kuntal Sengupta, Jun Ohya

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

In this paper we present an algorithm to generate new views of a human face, starting with at least two other views of the face. In a typical face recognition system, the task of comparison becomes easier if the faces have similar orientation with respect to the camera. The affine coordinate based reprojection algorithm presented in the paper enables us to do that. Dense point matches between the two input faces of the same individual are computed using an affine coordinate based reprojection framework. This is followed by the reprojection of one of these to faces to the target face once the user has matched four feature points across two input face images and the target face image.

Original languageEnglish
Pages340-343
Number of pages4
Publication statusPublished - 1997 Dec 1
Externally publishedYes
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: 1997 Oct 261997 Oct 29

Other

OtherProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period97/10/2697/10/29

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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    Sengupta, K., & Ohya, J. (1997). Affine coordinate based algorithm for reprojecting the human face for identification tasks. 340-343. Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, .