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» Multi-View Object Class Detection With a 3D Geometric Model
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CVPR
2007
IEEE
14 years 6 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
PG
2003
IEEE
13 years 10 months ago
Interactive 3D Model Acquisition and Registration
The acquisition of geometric information from realworld objects has become a major way of modeling complex scenes and environments. Unfortunately, most optical methods for geometr...
Yushuang Liu, Wolfgang Heidrich
CORR
2011
Springer
211views Education» more  CORR 2011»
12 years 8 months ago
Labeling 3D scenes for Personal Assistant Robots
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
Hema Swetha Koppula, Abhishek Anand, Thorsten Joac...
CVPR
2009
IEEE
13 years 11 months ago
Disambiguating the recognition of 3D objects
We propose novel algorithms for the detection, segmentation, recognition, and pose estimation of threedimensional objects. Our approach initially infers geometric primitives to de...
Gutemberg Guerra-Filho
ICCV
2009
IEEE
14 years 9 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese