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» Segmenting focused objects in complex visual images
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ICCV
2011
IEEE
14 years 4 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
CVPR
2011
IEEE
1473views Computer Vision» more  CVPR 2011»
15 years 17 days ago
Object Recognition with Hierarchical Kernel Descriptors
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox
ICCV
2005
IEEE
16 years 6 months ago
When Does a Camera See Rain?
Rain produces sharp intensity fluctuations in images and videos, which degrade the performance of outdoor vision systems. These intensity fluctuations depend on various factors, s...
Kshitiz Garg, Shree K. Nayar
CVPR
2010
IEEE
16 years 23 days ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
TSMC
2008
98views more  TSMC 2008»
15 years 4 months ago
A New Active Visual System for Humanoid Robots
In this paper, a new active visual system is developed, which is based on bionic vision and is insensitive to the property of the cameras. The system consists of a mechanical platf...
De Xu, Youfu Li, Min Tan, Yang Shen