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DICTA
2009
13 years 10 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
JVCA
2006
110views more  JVCA 2006»
13 years 9 months ago
As-consistent-As-possible compositing of virtual objects and video sequences
We present an efficient approach that merges the virtual objects into video sequences taken by a freely moving camera in a realistic manner. The composition is visually and geomet...
Guofeng Zhang, Xueying Qin, Xiaobo An, Wei Chen, H...
ICRA
2010
IEEE
118views Robotics» more  ICRA 2010»
13 years 7 months ago
Tactile object class and internal state recognition for mobile manipulation
— Tactile information is valuable in determining properties of objects that are inaccessible from visual perception. In this work, we present a tactile perception strategy that a...
Sachin Chitta, Matthew Piccoli, Jürgen Sturm
ICPR
2010
IEEE
13 years 7 months ago
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
Bang Zhang, Getian Ye, Yang Wang 0002, Wei Wang, J...
ICIP
2008
IEEE
14 years 11 months ago
Saliency based objective quality assessment of decoded video affected by packet losses
In this work, we propose a novel saliency-based objective quality assessment metric, for assessing the perceptual quality of decoded video sequences affected by packet loses. The ...
Xin Feng, Tao Liu, Dan Yang, Yao Wang