Three-dimensional shape model reconstruction from multiple view range images and color images

Kazushi Yoshida, Hideo Saito

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

Abstract

Recently, there is an increasing interest in capturing 3D models of real objects. The range scanner can acquire high quality shape data of the object, but the texture image for surface rendering obtained by the scanner is not generally high resolution and high quality. High-resolution color images at different position are generally taken in addition to the range data so that more realistic images can be rendered from the captured 3D model using such high quality textures. We propose the method of modeling high quality 3D model in shape and appearance by aligning multiple view range images obtained by a range scanner and multiple view color images taken by a digital camera around the object. Color images used as textures are calibrated by Tsai's method, in which lens distortion is also calibrated. On the other hand, a surface model of the object is created by registering and integrating range data sets taken from multiple directions. For registration, we use color ICP (Iterative Closest Point) algorithm that aligns two surfaces using color images and surface shape of the object. For integration, we build voxel model from range images and then detect polygons by Marching Cubes algorithm. We apply textures of high-resolution images to the surfaces by blending, and finally reconstruct realistic 3D model concerned with shape and appearance.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsD.P. Casasent, E L Hall
Pages125-133
Number of pages9
Volume4572
DOIs
Publication statusPublished - 2001
EventIntelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision - Boston, MA, United States
Duration: 2001 Oct 292001 Oct 31

Other

OtherIntelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision
CountryUnited States
CityBoston, MA
Period01/10/2901/10/31

Fingerprint

Color
color
Textures
textures
scanners
high resolution
Digital cameras
Image resolution
Lenses
digital cameras
polygons
lenses

Keywords

  • 3D reconstruction
  • ICP algorithm
  • Multiple view range images
  • Texture mapping

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Yoshida, K., & Saito, H. (2001). Three-dimensional shape model reconstruction from multiple view range images and color images. In D. P. Casasent, & E. L. Hall (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4572, pp. 125-133) https://doi.org/10.1117/12.444175

Three-dimensional shape model reconstruction from multiple view range images and color images. / Yoshida, Kazushi; Saito, Hideo.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / D.P. Casasent; E L Hall. Vol. 4572 2001. p. 125-133.

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

Yoshida, K & Saito, H 2001, Three-dimensional shape model reconstruction from multiple view range images and color images. in DP Casasent & EL Hall (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 4572, pp. 125-133, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, Boston, MA, United States, 01/10/29. https://doi.org/10.1117/12.444175
Yoshida K, Saito H. Three-dimensional shape model reconstruction from multiple view range images and color images. In Casasent DP, Hall EL, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4572. 2001. p. 125-133 https://doi.org/10.1117/12.444175
Yoshida, Kazushi ; Saito, Hideo. / Three-dimensional shape model reconstruction from multiple view range images and color images. Proceedings of SPIE - The International Society for Optical Engineering. editor / D.P. Casasent ; E L Hall. Vol. 4572 2001. pp. 125-133
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