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» Learning Hierarchical Models of Scenes, Objects, and Parts
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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 4 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, ...
CRV
2006
IEEE
148views Robotics» more  CRV 2006»
15 years 3 months ago
Autonomous Learning of Object Appearances using Colour Contour Frames
In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
Per-Erik Forssén, Anders Moe
ECCV
2008
Springer
14 years 11 months ago
Scene Segmentation Using the Wisdom of Crowds
Given a collection of images of a static scene taken by many different people, we identify and segment interesting objects. To solve this problem, we use the distribution of images...
Ian Simon, Steven M. Seitz
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
14 years 8 months ago
Categorizing object-action relations from semantic scene graphs
— In this work we introduce a novel approach for detecting spatiotemporal object-action relations, leading to both, action recognition and object categorization. Semantic scene g...
Eren Erdal Aksoy, Alexey Abramov, Florentin Wö...
ECCV
2002
Springer
15 years 11 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin