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» Learning 3-D object orientation from images
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VR
2002
IEEE
261views Virtual Reality» more  VR 2002»
13 years 10 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 12 days 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 5 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 3 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 5 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