Visual object detection by specifying the scale and rotation transformations

Yasuomi D. Sato, Jenia Jitsev, Christoph Von Der Malsburg

研究成果: Conference contribution

抄録

We here propose a simple but highly potential algorithm to detect a model object's position on an input image by determining the initially unknown transformational states of the model object, in particular, size and 2D-rotation. In this algorithm, a single feature is extracted around or at the center of the input image through 2D-Gabor wavelet transformation, in order to find not only the most likely relative size and rotation to the model object, but also the most appropriate positional region on the input image for detecting the correct relative transformational states. We also show the reliable function on the face images of different persons, or of different appearance in the same person.

本文言語English
ホスト出版物のタイトルNeural Information Processing
ホスト出版物のサブタイトルModels and Applications - 17th International Conference, ICONIP 2010, Proceedings
ページ616-624
ページ数9
PART 2
DOI
出版ステータスPublished - 2010
イベント17th International Conference on Neural Information Processing, ICONIP 2010 - Sydney, NSW, Australia
継続期間: 2010 11 222010 11 25

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
6444 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other17th International Conference on Neural Information Processing, ICONIP 2010
CountryAustralia
CitySydney, NSW
Period10/11/2210/11/25

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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