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» Learning 3-D object orientation from images
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VR
2002
IEEE
261views Virtual Reality» more  VR 2002»
14 years 1 months ago
VizWear-3D: A Wearable 3-D Annotation System Based on 3-D Object Tracking Using a Condensation Algorithm
We have developed a method for recognizing and tracking known three-dimensional objects in scene images captured from a user’s viewpoint. The method uses multiple color histogra...
Takashi Okuma, Takeshi Kurata, Katsuhiko Sakaue
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 3 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
CVIU
2008
188views more  CVIU 2008»
13 years 8 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
BMVC
2010
13 years 6 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
ICCV
2011
IEEE
12 years 8 months ago
From Contours to 3D Object Detection and Pose Estimation
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work focuses on object-centered representations of point-based object fe...
Nadia Payet, Sinisa Todorovic