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» Visibility-based feature extraction from discrete models
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ICPR
2008
IEEE
15 years 4 months ago
Full body tracking-based human action recognition
In this paper, we present a novel method for human action recognition with the combined global movement feature and local configuration feature. The human action is represented as...
Junxia Gu, Xiaoqing Ding, Shengjin Wang, Youshou W...
VLSISP
2010
191views more  VLSISP 2010»
14 years 4 months ago
Sign Language Phoneme Transcription with Rule-based Hand Trajectory Segmentation
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...
W. W. Kong, Surendra Ranganath
CVPR
1998
IEEE
15 years 12 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola
3DOR
2008
14 years 11 months ago
A 3D Face Recognition Algorithm Using Histogram-based Features
We present an automatic face recognition approach, which relies on the analysis of the three-dimensional facial surface. The proposed approach consists of two basic steps, namely ...
Xuebing Zhou, Helmut Seibert, Christoph Busch, Wol...
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
14 years 8 months ago
Learning visibility of landmarks for vision-based localization
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
Pablo Fernández Alcantarilla, Sang Min Oh, ...