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» Support Vector Machines for 3D Object Recognition
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ACIVS
2005
Springer
15 years 6 months ago
Object Recognition Using Local Characterisation and Zernike Moments
Abstract. Even if lots of object invariant descriptors have been proposed in the literature, putting them into practice in order to obtain a robust system face to several perturbat...
Anant Choksuriwong, Hélène Laurent, ...
107
Voted
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
15 years 6 months ago
Human Motion Recognition with a Convolution Kernel
Abstract— We address the problem of human motion recognition in this paper. The goal of human motion recognition is to recognize the type of motion recorded in a video clip, whic...
Dongwei Cao, Osama Masoud, Daniel Boley
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
15 years 7 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
102
Voted
ICIP
2009
IEEE
16 years 1 months ago
Image Mosaicing Via Quadric Surface Estimation With Priors For Tunnel Inspection
In this paper, a system which constructs a mosaic image of the tunnel surface with little distortion is presented. The tunnel surface is typically composed of a roughly cylindrica...
98
Voted
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
15 years 7 months ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...