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CVPR
1998
IEEE
14 years 6 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
ACCV
2010
Springer
12 years 11 months ago
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
Chavdar Papazov, Darius Burschka
ECCV
2008
Springer
14 years 6 months ago
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
AAAI
2011
12 years 4 months ago
A Scalable Tree-Based Approach for Joint Object and Pose Recognition
Recognizing possibly thousands of objects is a crucial capability for an autonomous agent to understand and interact with everyday environments. Practical object recognition comes...
Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox
DAGM
2003
Springer
13 years 9 months ago
Real-Time Recognition of 3D-Pointing Gestures for Human-Machine-Interaction
We present a system capable of visually detecting pointing gestures and estimating the 3D pointing direction in real-time. We use Hidden Markov Models (HMMs) trained on different ...
Kai Nickel, Rainer Stiefelhagen