Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
Dynamic texture (DT) is an extension of texture to the temporal domain. Description and recognition of DTs have attracted growing attention. In this paper, a novel approach for recognizing DTs is proposed and its simplifications and extensions to facial ...
Toward Objective Evaluation of Image Segmentation Algorithms
Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thus far has been largely subjective, leaving a system designer to judge the ...
Curve/Surface Representation and Evolution Using Vector Level Sets with Application to the Shape-Based Segmentation Problem
In this paper, we revisit the implicit front representation and evolution using the vector level set function (VLSF) proposed in [1]. Unlike conventional scalar level sets, this function is designed to have a vector form. The distance from any point to ...
Matching by Linear Programming and Successive Convexification
We present a novel convex programming scheme to solve matching problems, focusing on the challenging problem of matching in a large search range and with cluttered background. Matching is formulated as metric labeling with L_{1} regularization terms, ...
Model-Based Tracking by Classification in a Tiny Discrete Pose Space
A method is presented for tracking 3D objects as they transform rigidly in space within a sparse range image sequence. The method operates in discrete space and exploits the coherence across image frames that results from the relationship between known ...
Mask-Based Second-Generation Connectivity and Attribute Filters
Connected filters are edge-preserving morphological operators, which rely on a notion of connectivity. This is usually the standard 4 and 8-connectivity, which is often too rigid since it cannot model generalized groupings such as object clusters or ...
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object's appearance due to changing camera pose and lighting conditions. Canonical Correlations (also known as principal or ...
Recognition of Pornographic Web Pages by Classifying Texts and Images
With the rapid development of the World Wide Web, people benefit more and more from the sharing of information. However, Web pages with obscene, harmful, or illegal content can be easily accessed. It is important to recognize such unsuitable, offensive, ...
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform significantly better than RELIEF, without introducing a large increase in ...
MonoSLAM: Real-Time Single Camera SLAM
We present a real-time algorithm which can recover the 3D trajectory of a monocular camera, moving rapidly through a previously unknown scene. Our system, which we dub MonoSLAM, is the first successful application of the SLAM methodology from mobile ...
Stereo Correspondence with Occlusion Handling in a Symmetric Patch-Based Graph-Cuts Model
A novel patch-based correspondence model is presented in this paper. Many segment-based correspondence approaches have been proposed in recent years. Untextured pixels and boundaries of discontinuities are imposed with hard constraints by the ...
Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest
We present an automatic focus area estimation method, working with a single image without a priori information about the image, the camera, or the scene. It produces relative focus maps by localized blind deconvolution and a new residual error-based ...
The Bayes Decision Rule Induced Similarity Measures
This paper first shows that the popular whitened cosine similarity measure is related to the Bayes decision rule under specific assumptions and then presents two new similarity measures: the PRM Whitened Cosine (PWC) similarity measure and the Within-...
A Normalized Levenshtein Distance Metric
Although a number of normalized edit distances presented so far may offer good performance in some applications, none of them can be regarded as a genuine metric between strings because they do not satisfy the triangle inequality. Given two strings X ...
Space-Time Adaptation for Patch-Based Image Sequence Restoration
We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-variance trade-off. At each pixel, the space-time neighborhood is adapted to ...