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Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on

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  • Object segmentation using graph cuts based active contours

    Publication Year: 2003, Page(s):II - 46-53 vol.2
    Cited by:  Papers (7)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (14119 KB) | HTML iconHTML

    In this paper we present a graph cuts based active contours (GCBAC) approach to object segmentation problems. Our method is a combination of active contours and the optimization tool of graph cuts and differs fundamentally from traditional active contours in that it uses graph cuts to iteratively deform the contour. Consequently, it has the following advantages. (1) It has the ability to jump over... View full abstract»

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  • Object-specific figure-ground segregation

    Publication Year: 2003, Page(s):II - 39-45 vol.2
    Cited by:  Papers (21)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (924 KB) | HTML iconHTML

    We consider the problem of segmenting an image into foreground and background, with foreground containing solely objects of interest known a priori. We propose an integration model that incorporates both edge detection and object part detection results. It consists of two parallel processes: low-level pixel grouping and high-level patch grouping. We seek a solution that optimizes a joint grouping ... View full abstract»

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  • Proceedings 2003 IEEE Computer Society Conference On Computer Vision And Pattern Recognition

    Publication Year: 2003, Page(s):iii - xii
    Request permission for commercial reuse | PDF file iconPDF (327 KB)
    Freely Available from IEEE
  • Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms

    Publication Year: 2003, Page(s):II - 570
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (732 KB) | HTML iconHTML

    We present a new multimodal image registration method based on the a priori knowledge of the class label mappings between two segmented input images. A joint class histogram between the image pairs is estimated by assigning each bin value equal to the total number of occurrences of the corresponding class label pairs. The discrepancy between the observed and expected joint class histograms should ... View full abstract»

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  • Author index

    Publication Year: 2003, Page(s):737 - 742
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    Freely Available from IEEE
  • On region merging: the statistical soundness of fast sorting, with applications

    Publication Year: 2003, Page(s):II - 19-26 vol.2
    Cited by:  Papers (14)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (613 KB) | HTML iconHTML

    This work explores a statistical basis for a process often described in computer vision: image segmentation by region merging following a particular order in the choice of regions. We exhibit a particular blend of algorithmics and statistics whose error is, as we formally show, close to the best possible. This approach can be approximated in a very fast segmentation algorithm for processing images... View full abstract»

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  • Perception-based 3D triangle mesh segmentation using fast marching watersheds

    Publication Year: 2003, Page(s):II-27 - II-32 vol.2
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (475 KB) | HTML iconHTML

    In this paper, we describe an algorithm called fast marching watersheds that segments a triangle mesh into visual parts. This computer vision algorithm leverages a human vision theory known as the minima rule. Our implementation computes the principal curvatures and principal directions at each vertex of a mesh, and then our hill-climbing watershed algorithm identifies regions bounded by contours ... View full abstract»

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  • Range image segmentation by surface extraction using an improved robust estimator

    Publication Year: 2003, Page(s):II - 33-8 vol.2
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (422 KB) | HTML iconHTML

    The paper presents a novel range image segmentation algorithm based on planar surface extraction. The algorithm was applied to common range image databases and was favorably compared against seven other segmentation algorithms using a popular evaluation framework. The experimental results show that, as compared to the other methods, our algorithm presents a good performance in preserving small reg... View full abstract»

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  • What is the space of camera response functions?

    Publication Year: 2003, Page(s):II - 602-9 vol.2
    Cited by:  Papers (41)  |  Patents (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (609 KB) | HTML iconHTML

    Many vision applications require precise measurement of scene radiance. The function relating scene radiance to image brightness is called the camera response. We analyze the properties that all camera responses share. This allows us to find the constraints that any response function must satisfy. These constraints determine the theoretical space of all possible camera responses. We have collected... View full abstract»

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  • Evolvable visual commercial detector

    Publication Year: 2003, Page(s):II-79 - II-84 vol.2
    Cited by:  Papers (11)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2981 KB)

    Commercial detection plays an important role in various video segmentation and indexing applications. It provides high-level program segmentation so that other algorithms can be applied on the true program material in the broadcast. It is a challenge to have robust commercial detection methodology for various platforms, content formats, and broadcast styles that are used all over the world. Wide d... View full abstract»

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  • View invariants for human action recognition

    Publication Year: 2003, Page(s):II - 613-19 vol.2
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (367 KB) | HTML iconHTML

    This paper presents two approaches for the representation and recognition of human action in video, aiming for view-point invariance. The paper first presents new results using a 2D approach presented earlier. Inherent limitations of the 2D approach are discussed and a new 3D approach that builds on recent work on 3D model-based invariants, is presented. Each action is represented as a unique curv... View full abstract»

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  • Scene detection in Hollywood movies and TV shows

    Publication Year: 2003, Page(s):II - 343-8 vol.2
    Cited by:  Papers (31)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (530 KB) | HTML iconHTML

    A scene can be defined as one of the subdivisions of a play in which the setting is fixed, or when it presents continuous action in one place. We propose a novel two-pass algorithm for scene boundary detection, which utilizes the motion content, shot length and color properties of shots as the features. In our approach, shots are first clustered by computing Backward Shot Coherence (BSC) - a shot ... View full abstract»

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  • Using multiple cues for hand tracking and model refinement

    Publication Year: 2003, Page(s):II - 443-50 vol.2
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (991 KB) | HTML iconHTML

    We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and model refinement. We then apply it to the problem of hand tracking using a single camera sequence. Hand tracking is particularly challenging because of occlusions, shading variations, and the high dimensionality of the motion. The novelty of our approach is in the combi... View full abstract»

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  • Recognizing and monitoring high-level behaviors in complex spatial environments

    Publication Year: 2003, Page(s):II - 620-5 vol.2
    Cited by:  Papers (16)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (395 KB) | HTML iconHTML

    The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveillance. The problem is complicated by sensory noise and complex activity spanning large spatial and temporal extents. The paper presents a system for recognizing high-level human activities from multi-camera video data in co... View full abstract»

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  • Expectation grammars: leveraging high-level expectations for activity recognition

    Publication Year: 2003, Page(s):II-626 - II-632 vol.2
    Cited by:  Papers (23)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (333 KB) | HTML iconHTML

    Video-based recognition and prediction of a temporally extended activity can benefit from a detailed description of high-level expectations about the activity. Stochastic grammars allow for an efficient representation of such expectations and are well-suited for the specification of temporally well-ordered activities. In this paper, we extend stochastic grammars by adding event parameters, state c... View full abstract»

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  • Implicit similarity: a new approach to multi-sensor image registration

    Publication Year: 2003, Page(s):II - 543-8 vol.2
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (548 KB) | HTML iconHTML

    This paper presents an implicit similarity-based approach to registration of significantly dissimilar images, acquired by sensors at different modalities. The proposed algorithm introduces a robust matching criterion by aligning the locations of gradient maxima. The alignment is formulated as a parametric variational optimization problem, which is solved iteratively by considering the intensities ... View full abstract»

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  • Properties and applications of shape recipes

    Publication Year: 2003, Page(s):II - 383-90 vol.2
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3924 KB)

    In low-level vision, the representation of scene properties such as shape, albedo, etc., are very high dimensional as they have to describe complicated structures. The approach proposed here is to let the image itself bear as much of the representational burden as possible. In many situations, scene and image are closely related and it is possible to find a functional relationship between them. Th... View full abstract»

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  • Automatic relighting of overlapping textures of a 3D model

    Publication Year: 2003, Page(s):II - 166-73 vol.2
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (483 KB) | HTML iconHTML

    The paper presents a new method to correct overlapping textures of a single 3D model where each texture was obtained under possibly different lighting conditions and color response of the camera. This situation arises frequently when a single object is digitized using multiple 3D scanners. Our goal is to remove any visible seam and improve color consistency between the textures in order to merge t... View full abstract»

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  • Markerless kinematic model and motion capture from volume sequences

    Publication Year: 2003, Page(s):II-475 - II-482 vol.2
    Cited by:  Papers (5)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (710 KB) | HTML iconHTML

    An approach for model-free markerless motion capture of articulated kinematic structures is presented. This approach is centered our method for generating underlying nonlinear axes (or a skeleton curve) from the volume of an arbitrary rigid-body model. We describe the use of skeleton curves for deriving a kinematic model and motion (in the form of joint angles over time) from a captured volume seq... View full abstract»

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  • Active unsupervised texture segmentation on a diffusion based feature space

    Publication Year: 2003, Page(s):II - 699-704 vol.2
    Cited by:  Papers (52)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (498 KB) | HTML iconHTML

    We propose a novel and efficient approach for active unsupervised texture segmentation. First, we show how we can extract a small set of good features for texture segmentation based on the structure tensor and nonlinear diffusion. Then, we propose a variational framework that incorporates these features in a level set based unsupervised segmentation process that adaptively takes into account their... View full abstract»

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  • Nearest neighbor search for relevance feedback

    Publication Year: 2003, Page(s):II - 643-8 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (356 KB) | HTML iconHTML

    We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback learning is a popular scheme used in content based image and video retrieval to support high-level concept queries. The paper addresses those scenarios in which a similarity or distance matrix is updated during each iter... View full abstract»

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  • Fusing online and offline information for stable 3D tracking in real-time

    Publication Year: 2003, Page(s):II - 241-8 vol.2
    Cited by:  Papers (23)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (951 KB) | HTML iconHTML

    We propose an efficient online real-time solution for single-camera 3D tracking of rigid objects that can handle large camera displacements, drastic aspect changes, and partial occlusions. While the offline camera registration problem can be considered as essentially solved, robust online tracking remains an open issue because many real-time algorithms described in the literature still lack robust... View full abstract»

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  • Robust crease detection in fingerprint images

    Publication Year: 2003, Page(s):II - 505-10 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1991 KB) | HTML iconHTML

    We study a pattern in the fingerprint called a crease, a kind of stripe which irregularly crosses the normal fingerprint patterns (ridges and valleys). Creases will cause spurious minutiae when using a conventional feature detection algorithm, and therefore decreases the recognition rate of fingerprint identification. By representing the crease using a parameterized rectangle, we design an optimal... View full abstract»

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  • Background subtraction based on cooccurrence of image variations

    Publication Year: 2003, Page(s):II-65 - II-72 vol.2
    Cited by:  Papers (53)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (654 KB) | HTML iconHTML

    This paper presents a novel background subtraction method for detecting foreground objects in dynamic scenes involving swaying trees and fluttering flags. Most methods proposed so far adjust the permissible range of the background image variations according to the training samples of background images. Thus, the detection sensitivity decreases at those pixels having wide permissible ranges. If we ... View full abstract»

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  • Estimating surface characteristics using physical reflectance models

    Publication Year: 2003, Page(s):II - 177-84 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB) | HTML iconHTML

    We make use of the Beckmann-Kirchhoff and Davies scattering models to estimate surface properties for both dielectric and metallic surfaces based on reflectance measurements. In the case of metallic surfaces, we consider two refinements of the Davies theory, which apply under different restrictions concerning the reflectance geometry. The first of these is due to Bennett and Porteus (1961) and app... View full abstract»

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