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» What and Where: 3D Object Recognition with Accurate Pose
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CVPR
2011
IEEE
13 years 2 months ago
Semantic structure from motion
Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed ...
Sid Ying-Ze Bao, Silvio Savarese
CVPR
2003
IEEE
14 years 8 months ago
Face Recognition Under Variable Lighting using Harmonic Image Exemplars
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
Lei Zhang 0002, Dimitris Samaras
ISMAR
2003
IEEE
13 years 11 months ago
A real-time tracker for markerless augmented reality
Augmented Reality has now progressed to the point where real-time applications are being considered and needed. At the same time it is important that synthetic elements are render...
Andrew I. Comport, Éric Marchand, Fran&cced...
SG
2010
Springer
13 years 11 months ago
Art 101: Learning to Draw through Sketch Recognition
iCanDraw is a drawing tool that can assist novice users to draw. The goal behind the system is to enable the users to perceive objects beyond what they know and improve their spati...
Tracy Hammond, Manoj Prasad, Daniel Dixon
3DIM
2007
IEEE
14 years 21 days ago
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tr...
Markus Hahn, Lars Krüger, Christian Wöhl...