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Face Recognition Based on Non-Corresponding Region Matching
Recognition Non-Corresponding Region Matching
2013/7/24
In previous works of face recognition, similarity betweenfaces is measured by comparing corresponding face regions. That is to say, matching eyes with eyes and mouths withmouths etc.. In this paper, w...
MATCHING CONTENT-BASED SALIENCY REGIONS FOR PARTIAL-DUPLICATE IMAGE RETRIEVAL
Content-based Saliency Region PartialDuplicate Image Retrieval Relative Saliency Ordering Constraint
2013/7/24
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...
Video Stabilization based on Saliency driven SIFT Matching and discriminative Ransac
Visual Attention Model discriminative SIFT feature Motion Analysis Video Stabilization
2013/7/24
Inspired by the stability functions of human vision system, we present a novel video stabilization method based on saliency driven SIFT matching and discriminative RANSAC. Firstly, a saliency detectio...
A MULTIMODAL VIDEO COPY DETECTION APPROACH WITH SEQUENTIAL PYRAMID MATCHING ∗
copy detection sequential pyramid matching eature fusion
2013/7/24
Content-based video copy detection over large corpus withcomplex transformations is important but challenging. It isnot surprising that most existing methods fall short of eithersufficient robustness ...
Near-Duplicate Video Matching with Transformation Recognition
Multi-features Transformation Recognition Near-Duplicate Copy Detection Self-Similarity SSM
2013/7/16
Nowadays, the issue of near-duplicate video matching has been extensively studied. However, transformation, which is one of the major causes of near-duplicates, has been little discussed. In this pape...
Symmetric segment-based stereo matching of motion blurred images with illumination variations
Symmetric segment-based stereo matching motion blurred images illumination variations
2013/7/17
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under challenging real situat...
MATCHING IMAGES MORE EFFICIENTLY WITH LOCAL DESCRIPTORS
MATCHING IMAGES MORE EFFICIENTLY LOCAL DESCRIPTORS
2013/7/17
Image matching is a fundamental task for many applications of computer vision. Today it is very popular to represent two matched images as two bags of local descriptors, and the classic RANSAC based m...
Effective Scene Matching with Local Feature Representatives
Effective Scene Matching Local Feature Representatives
2013/7/17
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene categories. In this p...
Attention-Driven Action Retrieval with DTW-based 3D Descriptor Matching
Video Content Analysis Action Retrieval Attention Shift 3D-SIFT Dynamic Time Warping
2013/7/17
From visual perception viewpoint, actions in videos can capture high-level semantics for video content understanding and retrieval. However, action-level video retrieval meets great challenges, due ...
DRM: dynamic region matching for image retrieval using probabilistic fuzzy matching and boosting feature selection
Image retrieval Region matching Relevance feedback AdaBoost Long-term learning
2013/7/17
This paper considers the semantic gap in content-based image retrieval from two aspects: (1) irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsupe...