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BMVC
2010
13 years 5 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
SCALESPACE
2007
Springer
14 years 1 months ago
3D Object Recognition by Eigen-Scale-Space of Contours
People often recognize 3D objects by their boundary shape. Designing an algorithm for such a task is interesting and useful for retrieving objects from a shape database. In this pa...
Tim K. Lee, Mark S. Drew
ACCV
2010
Springer
13 years 2 months ago
On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data
The ability of recognizing object categories in 3D data is still an underdeveloped topic. This paper investigates on adopting Implicit Shape Models (ISMs) for 3D categorization, th...
Samuele Salti, Federico Tombari, Luigi di Stefano
MVA
2000
127views Computer Vision» more  MVA 2000»
13 years 7 months ago
Geometric fusion for a hand-held 3D sensor
This article presents a geometric fusion algorithm developed for the reconstruction of 3D surface models from hand-held sensor data. Hand-held systems allow full 3D movement of th...
Adrian Hilton, John Illingworth
3DPVT
2004
IEEE
115views Visualization» more  3DPVT 2004»
13 years 11 months ago
Specularity Elimination in Range Sensing for Accurate 3D Modeling of Specular Objects
We present a novel range sensing method that is capable of constructing accurate 3D models of specular objects. Our method utilizes a new range imaging concept called multi-peak r...
Johnny Park, Avinash C. Kak