Presentation 2002/6/21
Robust Object Recognition based on Regular Framing and Depth Aspect Image
Tomoyuki TAKEGUCHI, Shun'ichi KANEKO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) A method for model-based object recognition of a cluttered range scene including multiple objects is proposed. Our method uses 'depth aspect image' for three-dimensional model representation. A depth aspect image is defined as an orientation standardized appearance from the original depth data of the object, which is transformed by the congruent transformation drawn by each hypothetical basis pair of three barycenter points of voxels. The database consists of model range data and these depth aspect images which are made by all possible pair of barycenter points. Objcet recognition and position estimation are achieved through two-dimensional image matching between the depth aspect image from the scene and the ones from the database. This image matching is based on the 'least quantile of residuals' which is robust against occlusion occurred in cluttered scene. Sparse barycenter points make the ICP algorithm and the verification process faster. The paper includes a formalization of the proposed method and some experimental results with real objects.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Range image / Object recognition / Depth aspect image / Robustness / Space division / ICP algorithm
Paper # PRMU2002-33
Date of Issue

Conference Information
Committee PRMU
Conference Date 2002/6/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Robust Object Recognition based on Regular Framing and Depth Aspect Image
Sub Title (in English)
Keyword(1) Range image
Keyword(2) Object recognition
Keyword(3) Depth aspect image
Keyword(4) Robustness
Keyword(5) Space division
Keyword(6) ICP algorithm
1st Author's Name Tomoyuki TAKEGUCHI
1st Author's Affiliation Faculty of Engineering, Hokkaido University()
2nd Author's Name Shun'ichi KANEKO
2nd Author's Affiliation Faculty of Engineering, Hokkaido University
Date 2002/6/21
Paper # PRMU2002-33
Volume (vol) vol.102
Number (no) 156
Page pp.pp.-
#Pages 8
Date of Issue