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CVPR
2012
IEEE
13 years 7 months ago
A data driven method for feature transformation
Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, u...
Mert Dikmen, Derek Hoiem, Thomas S. Huang
CVPR
2012
IEEE
13 years 7 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
CVPR
2012
IEEE
13 years 7 months ago
Top-down and bottom-up cues for scene text recognition
Scene text recognition has gained significant attention from the computer vision community in recent years. Recognizing such text is a challenging problem, even more so than the ...
Anand Mishra, Karteek Alahari, C. V. Jawahar
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CVPR
2012
IEEE
13 years 7 months ago
Weak attributes for large-scale image retrieval
Attribute-based query offers an intuitive way of image retrieval, in which users can describe the intended search targets with understandable attributes. In this paper, we develop...
Felix X. Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan ...
CVPR
2012
IEEE
13 years 7 months ago
Edge-preserving photometric stereo via depth fusion
We present a sensor fusion scheme that combines active stereo with photometric stereo. Aiming at capturing full-frame depth for dynamic scenes at a minimum of three lighting condi...
Qing Zhang, Mao Ye, Ruigang Yang, Yasuyuki Matsush...
CVPR
2012
IEEE
13 years 7 months ago
Changedetection.net: A new change detection benchmark dataset
Change detection is one of the most commonly encountered low-level tasks in computer vision and video processing. A plethora of algorithms have been developed to date, yet no wide...
Nil Goyette, Pierre-Marc Jodoin, Fatih Porikli, Ja...
CVPR
2012
IEEE
13 years 7 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
CVPR
2012
IEEE
13 years 7 months ago
Part-based multiple-person tracking with partial occlusion handling
Single camera-based multiple-person tracking is often hindered by difficulties such as occlusion and changes in appearance. In this paper, we address such problems by proposing a...
Guang Shu, Afshin Dehghan, Omar Oreifej, Emily Han...
CVPR
2012
IEEE
13 years 7 months ago
Multitarget data association with higher-order motion models
We present an iterative approximate solution to the multidimensional assignment problem under general cost functions. The method maintains a feasible solution at every step, and i...
Robert T. Collins
CVPR
2012
IEEE
13 years 7 months ago
Probabilistic tensor voting for robust perceptual grouping
We address the problem of unsupervised segmentation and grouping in 2D and 3D space, where samples are corrupted by noise, and in the presence of outliers. The problem has attract...
Dian Gong, Gérard G. Medioni