Patches in Vision
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Citation: EURASIP Journal on Image and Video Processing 2009 2009:689150
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A Patch-Based Structural Masking Model with an Application to Compression
The ability of an image region to hide or mask a given target signal continues to play a key role in the design of numerous image processing and vision systems. However, current state-of-the-art models of visual ...
Citation: EURASIP Journal on Image and Video Processing 2009 2009:649316 -
Contextual Classification of Image Patches with Latent Aspect Models
We present a novel approach for contextual classification of image patches in complex visual scenes, based on the use of histograms of quantized features and probabilistic aspect models. Our approach uses cont...
Citation: EURASIP Journal on Image and Video Processing 2009 2009:602920 -
A Robust Subpixel Motion Estimation Algorithm Using HOS in the Parametric Domain
Motion estimation techniques are widely used in todays video processing systems. The most frequently used techniques are the optical flow method and phase correlation method. The vast majority of these algorit...
Citation: EURASIP Journal on Image and Video Processing 2009 2009:381673 -
Models for Patch-Based Image Restoration
We present a supervised learning approach for object-category specific restoration, recognition, and segmentation of images which are blurred using an unknown kernel. The novelty of this work is a multilayer g...
Citation: EURASIP Journal on Image and Video Processing 2009 2009:641804 -
Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions
A successful representation of objects in literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different parts of an object are constrained ...
Citation: EURASIP Journal on Image and Video Processing 2009 2009:184618 -
Building Local Features from Pattern-Based Approximations of Patches: Discussion on Moments and Hough Transform
The paper overviews the concept of using circular patches as local features for image description, matching, and retrieval. The contents of scanning circular windows are approximated by predefined patterns. Ch...
Citation: EURASIP Journal on Image and Video Processing 2009 2009:959536