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» Invariant representation in image processing
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ICCV
2007
IEEE
15 years 6 days ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
PSIVT
2007
Springer
203views Multimedia» more  PSIVT 2007»
14 years 4 months ago
Direct Ellipse Fitting and Measuring Based on Shape Boundaries
: Measuring ellipticity is an important area of computer vision systems. Most existing ellipticity measures are area based and cannot be easily applied to point sets such as extrac...
Milos Stojmenovic, Amiya Nayak
CVPR
2012
IEEE
12 years 20 days ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
ICIP
2005
IEEE
14 years 12 months ago
Semifragile hierarchical watermarking in a set theoretic framework
We introduce a set theoretic framework for watermarking and illustrate its effectiveness by designing a hierarchical semi-fragile watermark that is tolerant to compression and all...
Oktay Altun, Gaurav Sharma, Mehmet Utku Celik, Mar...
ICIP
2004
IEEE
14 years 12 months ago
Soft shape context for iterative closest point registration
This paper introduces a shape descriptor, the soft shape context, motivated by the shape context method. Unlike the original shape context method, where each image point was hard ...
David Liu, Tsuhan Chen