PDF-IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTE

Berg Member IEEE Peter N Belhumeur and Shree K Nayar Member IEEE Abstract We introduce the use of describable visual attributes for face veri64257cation and image search Describable visual a ttributes are labels that can be given to an image to desc. 19 NO 6 JUNE 1997 In Defense of the EightPoint Algorithm Richard I Hartley Abstract The fundamental matrix is a basic tool in the analysis of scenes taken with two uncalibrated cameras and the eightpoint algorithm is a frequently cited method for co Freeman Abstract With the advent of the Internet billions of images are now freely available online and constitute a dense sampl ing of the visual world Using a variety of nonparametric metho ds we explore this world with the aid of a large dataset In recent years the number of approaches to detecting pedestrians in monocular images has grown steadily However multiple datasets and widely varying evaluation protocols are used making direct comparisons dif64257cult To address these shortcomings The object hypotheses are represented as 64257gure ground segmentations and are extracted automatically without p rior knowledge of the properties of individual object class es by solving a sequence of constrained parametric mincut problems CPMC on Convergent Treereweighted Message Passing for Energy Minimization Vladimir Kolmogorov University College London UK Abstract Algorithms for discrete energy minimization are of fun damental importance in computer vision In this paper we focus on the r At its core our approach is a novel image representation for template matching designed to be robust to small image transformations This robustness is based on spread image gradient orientations and allows us to test only a small subset of all possi This paper proposes a new automatic visual recogni tion system based only on local contour features capable of localizing objects in space and scale The system 64257rst builds a classspeci64257c codebook of local fragments of contour using a novel f 28 NO 11 NOV 2006 Random Walks for Image Segmentation Leo Grady Abstract A novel method is proposed for performing multi label interactive image segmentation Given a small number of pixels with userde64257ned or prede64257ned labels one can analyti 20 NO 4 APRIL 1998 401 A Pixel Dissimilarity Measure That Is Insensitive to Image Sampling Stan Birchfield and Carlo Tomasi Abstract Because of image sampling traditional measures of pixel dissimilarity can assign a large value to two corresponding 21 NO 5 MAY 1999 433 Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes Andrew E Johnson Member IEEE and Martial Hebert Member IEEE Abstract We present a 3D shapebased object recognition system for simultaneous recognition While most embedding alg orithms binarize both query and database signatures it has been noted that this is not strictly a requirement Indeed asymm etric schemes which binarize the database signatures but no t the query still enjoy the same two bene XX NO XX JUNE 2011 1 Efcient Additive Kernels via Explicit Feature Maps Andrea Vedaldi Member IEEE Andrew Zisserman Member IEEE Abstract Large scale nonlinear support vector machines SVMs can be approximated by linear ones using a suitable feature m This fundamental insight allows us to design object detection algorithms that are as accurate and considerably faster than the stateoftheart The computational bottleneck of many modern detectors is the computation of features at every scale of a 642 Ming-. Hsuan. Yang, Member, IEEE, . David J. . Kriegman. , Senior Member, IEEE, . Narendra. . Ahuja. , Fellow, IEEE. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 1, JANUARY 2002.