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BMVC
2010
14 years 9 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
DICTA
2003
15 years 1 months ago
3-D Surface Segmentation of Free-Form Objects Using Implicit Algebraic Surfaces
This paper describes a new technique for free-form object segmentation from a single arbitrary-viewed range image. The aim is to derive a surface description of objects that may va...
Rachid Benlamri, Yousuf Al-Marzooqi
ECCV
2000
Springer
16 years 1 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
ICMCS
1999
IEEE
164views Multimedia» more  ICMCS 1999»
15 years 4 months ago
A Semi-Automatic System to Infer Complex 3-D Shapes from Photographs
We present a semi-automatic image-based modeling system to make 3-D models from photographs. The human operator intervenes only for simple and straightforward tasks. The design of...
Qian Chen, Gérard G. Medioni
CVPR
2004
IEEE
16 years 1 months ago
3D Head Tracking Based on Recognition and Interpolation Using a Time-of-Flight Depth Sensor
This paper describes a head-tracking algorithm that is based on recognition and correlation-based weighted interpolation. The input is a sequence of 3D depth images generated by a...
Carlo Tomasi, Salih Burak Göktürk