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ECCV
1994
Springer
14 years 6 months ago
Non-parametric Local Transforms for Computing Visual Correspondence
Abstract. We propose a new approach to the correspondence problem that makes use of non-parametric local transforms as the basis for correlation. Non-parametric local transforms re...
Ramin Zabih, John Woodfill
CVPR
2011
IEEE
13 years 1 months ago
Saliency Estimation Using a Non-Parametric Low-Level Vision Model
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
Naila Murray, Maria Vanrell, Xavier Otazu, C. Alej...
CVPR
1998
IEEE
14 years 6 months ago
A Radial Cumulative Similarity Transform for Robust Image Correspondence
We develop a local image-correspondence algorithm which performs well near occluding boundaries. Unlike traditional robust methods, our method can find correspondences when the on...
Trevor Darrell
CVPR
2005
IEEE
14 years 6 months ago
Locally Adaptive Support-Weight Approach for Visual Correspondence Search
In this paper, we present a new area-based method for visual correspondence search that focuses on the dissimilarity computation. Local and area-based matching methods generally m...
Kuk-Jin Yoon, In-So Kweon
SCALESPACE
2007
Springer
13 years 10 months ago
Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
Abstract. Natural images consist of texture, structure and smooth regions and this makes the task of filtering challenging mainly when it aims at edge and texture preservation. In...
Noura Azzabou, Nikos Paragios, Frederic Guichard