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www.eecis.udel.edu
Computer vision techniques have been applied for rapid
and accurate structure recovery in many fields. Most methods
perform poorly in areas containing little or no texture
and in presence of repetitive patterns. We present a
portable, cost-effective pattern projector system powered
by the flash of a camera, to aid the reconstruction of such
areas....
Rohith MV, Gowri Somanath, Debra Norris, Jennifer Gutierrez, Chandra Kambhamettu
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www1.cs.columbia.edu
Nearest neighbor (NN) classification assumes locally constant class conditional probabilities, and suffers from bias in high dimensions with a small sample set. In this paper, we propose a novel cam weighted distance to ameliorate the curse of dimensionality....
Changyin Zhou, Yanqiu Chen
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www1.cs.columbia.edu
In recent years, with camera pixels shrinking in size, images are more likely to include defocused regions. In order to recover scene details from defocused regions, deblurring techniques must be applied. It is well known that the quality of a deblurred image is closely related to the defocus kernel,
which is determined by the pattern of the aperture....
Changyin Zhou, Shree Nayar
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www1.cs.columbia.edu
An optical diffuser is an element that scatters light and is commonly used to soften or shape illumination. In this paper, we propose a novel depth estimation method that places a diffuser in the scene prior to image capture. We call this approach depth-from-diffusion (DFDiff)....
Changyin Zhou, Oliver Cossairt, Shree Nayar
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CVPR - 2010
IEEE |
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www1.cs.columbia.edu
The range of scene depths that appear focused in an image is known as the depth of field (DOF). Conventional cameras are limited by a fundamental trade-off between depth of field and signal-to-noise ratio (SNR). For a dark scene, the aperture of the lens must be opened up to maintain SNR, which causes the DOF to reduce....
Hajime Nagahara, Sujit Kuthirummal, Changyin Zhou, Shree K. Nayar
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ECCV - 2008
IEEE |
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www1.cs.columbia.edu
Image artifacts that result from sensor dust are a common but annoying problem for many photographers. To reduce the appearance of dust in an image, we first formulate a model of artifact formation due to sensor dust. With this artifact formation model, we make use of contextual information in the image and a color consistency constraint on dust to remove these artifacts....
Changyin Zhou, Stephen Lin
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CVPR - 2007
IEEE |
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www1.cs.columbia.edu
The classical approach to depth from defocus uses two
images taken with circular apertures of different sizes. We
show in this paper that the use of a circular aperture
severely restricts the accuracy of depth from defocus. We
derive a criterion for evaluating a pair of apertures with respect
to the precision of depth recovery....
Changyin Zhou, Stephen Lin, Shree Nayar
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ICCV - 2009
IEEE |
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www.cse.msu.edu
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not link constraint), we address the problem of selecting a subset of visual words that are salient to the relevance between the image pair....
Pavan Mallapragada, Rong Jin and Anil Jain
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3
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CVPR - 2010
IEEE |
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