Illumination-free photometric metric for range image registration

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012
Pages97-104
Number of pages8
DOIs
Publication statusPublished - May 11 2012
Externally publishedYes
Event2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012 - Breckenridge, CO, United States
Duration: Jan 9 2012Jan 11 2012

Other

Other2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012
CountryUnited States
CityBreckenridge, CO
Period1/9/121/11/12

Fingerprint

Image registration
Lighting
Image processing
Color

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Thomas, D. G. F., & Sugimoto, A. (2012). Illumination-free photometric metric for range image registration. In 2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012 (pp. 97-104). [6163041] https://doi.org/10.1109/WACV.2012.6163041

Illumination-free photometric metric for range image registration. / Thomas, Diego Gabriel Francis; Sugimoto, Akihiro.

2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012. 2012. p. 97-104 6163041.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Thomas, DGF & Sugimoto, A 2012, Illumination-free photometric metric for range image registration. in 2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012., 6163041, pp. 97-104, 2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012, Breckenridge, CO, United States, 1/9/12. https://doi.org/10.1109/WACV.2012.6163041
Thomas DGF, Sugimoto A. Illumination-free photometric metric for range image registration. In 2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012. 2012. p. 97-104. 6163041 https://doi.org/10.1109/WACV.2012.6163041
Thomas, Diego Gabriel Francis ; Sugimoto, Akihiro. / Illumination-free photometric metric for range image registration. 2012 IEEE Workshop on the Applications of Computer Vision, WACV 2012. 2012. pp. 97-104
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