Illumination-free photometric metric for range image registration

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

This paper presents an illumination-free photometric metric for evaluating the goodness of a rigid transformation aligning two overlapping range images, under the assumption of Lambertian surface. Our metric is based on photometric re-projection error but not on feature detection and matching. We synthesize the color of one image using albedo of the other image to compute the photometric re-projection error. The unknown illumination and albedo are estimated from the correspondences induced by the input transformation using the spherical harmonics representation of image formation. This way allows us to derive an illumination-free photometric metric for range image alignment. We use a hypothesize-and-test method to search for the transformation that minimizes our illumination-free photometric function. Transformation candidates are efficiently generated by employing the spherical representation of each image. Experimental results using synthetic and real data show the usefulness of the proposed metric.

本文言語英語
ホスト出版物のタイトル2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012
ページ97-104
ページ数8
DOI
出版ステータス出版済み - 5 11 2012
外部発表はい
イベント2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012 - Breckenridge, CO, 米国
継続期間: 1 9 20121 11 2012

その他

その他2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012
国/地域米国
CityBreckenridge, CO
Period1/9/121/11/12

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

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