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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 7 • Date July 2011

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Displaying Results 1 - 21 of 21
  • [Front cover]

    Publication Year: 2011, Page(s): c1
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  • [Inside front cover]

    Publication Year: 2011, Page(s): c2
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  • A Hybrid Probabilistic Model for Unified Collaborative and Content-Based Image Tagging

    Publication Year: 2011, Page(s):1281 - 1294
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1739 KB) | HTML iconHTML

    The increasing availability of large quantities of user contributed images with labels has provided opportunities to develop automatic tools to tag images to facilitate image search and retrieval. In this paper, we present a novel hybrid probabilistic model (HPM) which integrates low-level image features and high-level user provided tags to automatically tag images. For images without any tags, HP... View full abstract»

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  • Estimation of Alpha Mattes for Multiple Image Layers

    Publication Year: 2011, Page(s):1295 - 1309
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1202 KB) | HTML iconHTML

    Image matting deals with the estimation of the alpha matte at each pixel, i.e., the contribution of the foreground and background objects to the composition of the image at that pixel. Existing methods for image matting are typically limited to estimating the alpha mattes for two image layers only. However, in several applications one is interested in editing images with multiple objects. In this ... View full abstract»

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  • Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin

    Publication Year: 2011, Page(s):1310 - 1323
    Cited by:  Papers (60)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1039 KB) | HTML iconHTML

    We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditional random field (HCRF) for object recognition. Similarly to HCRF for object recognition, we model a human action by a flexible constellation of parts conditioned on image observations. Differently from object recognitio... View full abstract»

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  • Higher-Dimensional Affine Registration and Vision Applications

    Publication Year: 2011, Page(s):1324 - 1338
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1297 KB) | HTML iconHTML

    Affine registration has a long and venerable history in computer vision literature, and in particular, extensive work has been done for affine registration in R2 and R3. This paper studies affine registration in Rm with m typically ranging from 4 to 12. To justify breaking of this dimension barrier, the first part of the paper describes three novel matching problem... View full abstract»

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  • Linear Scale and Rotation Invariant Matching

    Publication Year: 2011, Page(s):1339 - 1355
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4052 KB) | HTML iconHTML

    Matching visual patterns that appear scaled, rotated, and deformed with respect to each other is a challenging problem. We propose a linear formulation that simultaneously matches feature points and estimates global geometrical transformation in a constrained linear space. The linear scheme enables search space reduction based on the lower convex hull property so that the problem size is largely d... View full abstract»

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  • Modeling Bidirectional Texture Functions with Multivariate Spherical Radial Basis Functions

    Publication Year: 2011, Page(s):1356 - 1369
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1600 KB) | HTML iconHTML

    This paper presents a novel parametric representation for bidirectional texture functions. Our method mainly relies on two original techniques, namely, multivariate spherical radial basis functions (SRBFs) and optimized parameterization. First, since the surface appearance of a real-world object is frequently a mixed effect of different physical factors, the proposed sum-of-products model based on... View full abstract»

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  • Penrose Pixels for Super-Resolution

    Publication Year: 2011, Page(s):1370 - 1383
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2404 KB) | HTML iconHTML

    We present a novel approach to reconstruction-based super-resolution that uses aperiodic pixel tilings, such as a Penrose tiling or a biological retina, for improved performance. To this aim, we develop a new variant of the well-known error back projection super-resolution algorithm that makes use of the exact detector model in its back projection operator for better accuracy. Pixels in our model ... View full abstract»

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  • Power Watershed: A Unifying Graph-Based Optimization Framework

    Publication Year: 2011, Page(s):1384 - 1399
    Cited by:  Papers (83)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1486 KB) | HTML iconHTML

    In this work, we extend a common framework for graph-based image segmentation that includes the graph cuts, random walker, and shortest path optimization algorithms. Viewing an image as a weighted graph, these algorithms can be expressed by means of a common energy function with differing choices of a parameter q acting as an exponent on the differences between neighboring nodes. Introducing a new... View full abstract»

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  • Reliability Fusion of Time-of-Flight Depth and Stereo Geometry for High Quality Depth Maps

    Publication Year: 2011, Page(s):1400 - 1414
    Cited by:  Papers (43)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3403 KB) | HTML iconHTML

    Time-of-flight range sensors have error characteristics, which are complementary to passive stereo. They provide real-time depth estimates in conditions where passive stereo does not work well, such as on white walls. In contrast, these sensors are noisy and often perform poorly on the textured scenes where stereo excels. We explore their complementary characteristics and introduce a method for co... View full abstract»

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  • Shape Analysis of Elastic Curves in Euclidean Spaces

    Publication Year: 2011, Page(s):1415 - 1428
    Cited by:  Papers (63)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1458 KB) | HTML iconHTML

    This paper introduces a square-root velocity (SRV) representation for analyzing shapes of curves in euclidean spaces under an elastic metric. In this SRV representation, the elastic metric simplifies to the IL2 metric, the reparameterization group acts by isometries, and the space of unit length curves becomes the unit sphere. The shape space of closed curves is the quotient space of (a... View full abstract»

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  • Silhouette Segmentation in Multiple Views

    Publication Year: 2011, Page(s):1429 - 1441
    Cited by:  Papers (10)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1758 KB) | HTML iconHTML

    In this paper, we present a method for extracting consistent foreground regions when multiple views of a scene are available. We propose a framework that automatically identifies such regions in images under the assumption that, in each image, background and foreground regions present different color properties. To achieve this task, monocular color information is not sufficient and we exploit the... View full abstract»

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  • Trajectory Space: A Dual Representation for Nonrigid Structure from Motion

    Publication Year: 2011, Page(s):1442 - 1456
    Cited by:  Papers (48)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2383 KB) | HTML iconHTML

    Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes. These bases are object dependent and therefore have to be estimated anew for each video sequence. In contrast, we propose a dual approach to describe the evolving 3D structure in trajectory space by a linear combination of basis trajectories. W... View full abstract»

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  • Vehicle Surveillance with a Generic, Adaptive, 3D Vehicle Model

    Publication Year: 2011, Page(s):1457 - 1469
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1599 KB) | HTML iconHTML

    In automated surveillance, one is often interested in tracking road vehicles, measuring their shape in 3D world space, and determining vehicle classification. To address these tasks simultaneously, an effective approach is the constrained alignment of a prior model of 3D vehicle shape to images. Previous 3D vehicle models are either generic but overly simple or rigid and overly complex. Rigid mode... View full abstract»

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  • Accuracy of Pseudo-Inverse Covariance Learning—A Random Matrix Theory Analysis

    Publication Year: 2011, Page(s):1470 - 1481
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (534 KB) | HTML iconHTML

    For many learning problems, estimates of the inverse population covariance are required and often obtained by inverting the sample covariance matrix. Increasingly for modern scientific data sets, the number of sample points is less than the number of features and so the sample covariance is not invertible. In such circumstances, the Moore-Penrose pseudo-inverse sample covariance matrix, constructe... View full abstract»

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  • On Kleinberg's Stochastic Discrimination Procedure

    Publication Year: 2011, Page(s):1482 - 1486
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (175 KB) | HTML iconHTML

    A new condition for high accuracy on test sets is given for the method of stochastic discrimination (SD), a pattern recognition method introduced by Kleinberg. This condition provides a simple explanation for the observed good generalization properties and overtraining-resistance. We also show that the method of SD remains valid if the original assumption of uniform distribution on a finite space ... View full abstract»

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  • Stay Connected with the IEEE Computer Society [advertisement]

    Publication Year: 2011, Page(s): 1487
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  • Distinguish yourself with the CSDP [advertisement]

    Publication Year: 2011, Page(s): 1488
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  • TPAMI Information for authors

    Publication Year: 2011, Page(s): c3
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  • [Back cover]

    Publication Year: 2011, Page(s): c4
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Aims & Scope

The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present most important research results in areas within TPAMI's scope.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu