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Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)

23-25 June 1999

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  • Proceedings 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. Two

    Publication Year: 1999, Page(s):i - xviii
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    Freely Available from IEEE
  • Visual tracking and control using Lie algebras

    Publication Year: 1999, Page(s):652 - 657 Vol. 2
    Cited by:  Papers (17)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (578 KB)

    A novel approach to visual servoing is presented, which takes advantage of the structure of the Lie algebra of affine transformations. The aim of this project is to use feedback from a visual sensor to guide a robot arm to a target position. The sensor is placed in the end effector of the robot, the 'camera-in-hand' approach, and thus provides direct feedback of the robot motion relative to the ta... View full abstract»

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  • Author index

    Publication Year: 1999, Page(s):660 - 663
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    Freely Available from IEEE
  • Indexing using a spectral encoding of topological structure

    Publication Year: 1999
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (636 KB)

    In an object recognition system, if the extracted image features are multilevel or multiscale, the indexing structure may take the form of a tree. Such structures are not only common in computer vision, but also appear in linguistics, graphics, computational biology, and a wide range of other domains. In this paper, we develop an indexing mechanism that maps the topological structure of a tree int... View full abstract»

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  • A structured probabilistic model for recognition

    Publication Year: 1999
    Cited by:  Papers (16)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (592 KB)

    In this paper we derive a probabilistic model for recognition based on local descriptors and spatial relations between these descriptors. Our model takes into account the variability of local descriptors, their saliency as well as the probability of spatial configurations. It is structured to clearly separate the probability of point-wise correspondences from the spatial coherence of sets of corre... View full abstract»

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  • 3D deformable image matching using multiscale minimization of global energy functions

    Publication Year: 1999
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (552 KB)

    This paper presents a hierarchical framework to perform deformable matching of three dimensional (3D) images. 3D shape deformations are parameterized at different scales, using a decomposition of the continuous deformation vector field over a sequence of nested subspaces, generated from a single scaling function. The parameterization of the field enables to enforce smoothness and differentiability... View full abstract»

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  • Using the CONDENSATION algorithm for robust, vision-based mobile robot localization

    Publication Year: 1999
    Cited by:  Papers (74)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (872 KB)

    To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as tracking the robot's position once its location is known. Vision has long been advertised as providing a solution to these problems, but we still lack efficient solutions in unmodified environments. Many existing approaches requ... View full abstract»

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  • User assisted modeling of buildings from aerial images

    Publication Year: 1999
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (944 KB)

    An approach that allows a user to assist an automatic system in modeling buildings is described. The approach is designed to be efficient in user time and effort while preserving the quality of the models created. Currently our system is able to handle the rectangular buildings with flat roof or symmetric gabled roof. Models can be created by only one or two clicks in many cases. Efficient editing... View full abstract»

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  • Probabilistic recognition of activity using local appearance

    Publication Year: 1999
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB)

    This paper addresses the problem of probabilistic recognition of activities from local spatio-temporal appearance. Joint statistics of space-time filters are employed to define histograms which characterize the activities to be recognized. These histograms provide the joint probability density functions required for recognition using Bayes rule. The result is a technique for recognition of activit... View full abstract»

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  • Perceptual organization via the symmetry map and symmetry transforms

    Publication Year: 1999
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB)

    Variations in the projection of objects on a 2D image, e.g., due to occlusion and articulation, lead to edge maps which are noisy, contain gaps and spurious elements, and which are deformed. These variations in turn cause variations in the edge map which are typically regularized by the use of a salient measure for each edge element. The use of edge salience, however, typically faced with two draw... View full abstract»

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  • Perceptual organization of occluding contours generated by opaque surfaces

    Publication Year: 1999
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (624 KB)

    This paper offers computational theory and an algorithmic framework for perceptual organization of image contours arising from static occluding surfaces of constant lightness. We articulate constraints and biases underlying the inference of such physical events as visible surface overlap and invisible (modal and amodal) surface boundaries, from ambiguous visual evidence including visible contrast ... View full abstract»

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  • A fuzzy K-NN algorithm using weights from the variance of membership values

    Publication Year: 1999
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    In this paper, a new fuzzy K-nearest neighbor (K-NN) algorithm, called “Variance Weighted Fuzzy K-NN”, is proposed. The main idea of this method is in giving weights to neighbors according to the standard deviation of their class membership values which reflect the value of a discriminant function. The classification results of 32 classes of complex images are given. Compared to the K-... View full abstract»

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  • A novel Bayesian method for fitting parametric and non-parametric models to noisy data

    Publication Year: 1999
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB)

    We offer a simple paradigm for fitting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done by considering each point on the model as a possible source for each data point. The paradigm also allows to solve problems which are not defined in the classical MSE approach, such as fitting a segment (as opposed to ... View full abstract»

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  • Material classification for 3D objects in aerial hyperspectral images

    Publication Year: 1999
    Cited by:  Papers (10)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (772 KB)

    Automated material classification from airborne imagery is an important capability for many applications including target recognition and geospatial database construction. Hyperspectral imagery provides a rich source of information for this purpose but utilization is complicated by the variability in a material's observed spectral signature due to the ambient conditions and the scene geometry. In ... View full abstract»

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  • Visual signature verification using affine arc-length

    Publication Year: 1999
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (684 KB)

    Signatures can be acquired with a camera-based system with enough resolution to perform verification. This paper presents the performance of a visual-acquisition signature verification system, emphasizing on the importance of the parameterisation of the signature in order to achieve good classification results. A technique to overcome the lack of examples in order to estimate the generalization er... View full abstract»

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  • Gesture localization and recognition using probabilistic visual learning

    Publication Year: 1999
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (824 KB)

    A generic approach for the extraction and recognition of gesture using raw grey-level images is presented. The probabilistic visual learning approach, a learning method recently proposed by B. Moghaddam and A. Pentland (1997), is used to create a set of compact statistical representations of gesture appearance on low dimensional eigenspaces. The same probabilistic modeling framework is used to ext... View full abstract»

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  • A new multi-level framework for deformable contour optimization

    Publication Year: 1999
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (784 KB)

    Application of dynamic programming to the deformable contours has many advantages, such as guaranteed optimality and numerical stability. However, long execution times of these methods almost always force researchers to use dynamic programming in combination with multiresolution methods. Multiresolution methods shorten the execution time by subsampling the original images after an application of a... View full abstract»

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  • Constrained self-calibration

    Publication Year: 1999
    Cited by:  Papers (7)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (764 KB)

    This paper focuses on the estimation of the intrinsic camera parameters and the trajectory of the camera from an image sequence. Intrinsic camera calibration and pose estimation are the prerequisites for many applications involving navigation tasks, scene reconstruction, and merging of virtual and real environments. Proposed and evaluated is a technical solution to decrease the sensitivity of self... View full abstract»

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  • Deformable shape detection and description via model-based region grouping

    Publication Year: 1999
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (844 KB)

    A method for deformable shape detection and recognition is described. Deformable shape templates are used to partition the image into a globally consistent interpretation, determined in part by the minimum description length principle. Statistical shape models enforce the prior probabilities on global, parametric deformations for each object class. Once trained, the system autonomously segments de... View full abstract»

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  • Real-time periodic motion detection, analysis, and applications

    Publication Year: 1999
    Cited by:  Papers (19)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (656 KB)

    We describe a new technique to detect and analyze periodic motion as seen from both a static and moving camera. By tracking objects of interest, we compute an object's self-similarity as it evolves in time. For periodic motion, the self-similarity measure is also periodic, and we apply time-frequency analysis to detect and characterize the periodic motion. A real-time system has been implemented t... View full abstract»

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  • Using planar parallax to estimate the time-to-contact

    Publication Year: 1999
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (604 KB)

    To avoid collisions, mobile robots need a measure for assessing the proximity of obstacles. A measure that is well suited to this purpose is provided by the time-to-contact. In this paper, a novel method for estimating the time-to-contact is presented. The method is based on the assumption that the robot is moving on a locally planar ground, parts of which are visible in the acquired images. Using... View full abstract»

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  • Estimating model parameters and boundaries by minimizing a joint, robust objective function

    Publication Year: 1999
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (644 KB)

    Many problems in computer vision require estimation of both model parameters and boundaries, which limits the usefulness of standard estimation techniques from statistics. Example problems include surface reconstruction from range data, estimation of parametric motion models, fitting circular or elliptic arcs to edgel data, and many others. This paper introduces a new estimation technique, called ... View full abstract»

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  • Generic object detection using model based segmentation

    Publication Year: 1999
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB)

    This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, frequently have surfaces which closely resemble standard model shapes such as rectangles, semi-circles etc. Due to the perspective transformations of optical imaging systems, a model shape may appear differently in the image... View full abstract»

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  • Performance prediction and validation for object recognition

    Publication Year: 1999
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB)

    This paper addresses the problem of predicting fundamental performance of vote-based object recognition using 2-D point features. It presents a method for predicting a tight lower bound on performance. Unlike previous approaches, the proposed method considers data-distortion factors, namely uncertainty, occlusion, and clutter, in addition to model similarity, simultaneously. The similarity between... View full abstract»

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  • Surface reconstruction from multiple aerial images in dense urban areas

    Publication Year: 1999
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (708 KB)

    Accurate 3D surface models of dense urban areas are essential for a variety of applications, such as cartography, urban planning and monitoring mobile communications, etc. Since manual surface reconstruction is very costly and time-consuming, the development of automated algorithms is of great importance. While most of existing algorithms focus on surface reconstruction either in rural or sub-urba... View full abstract»

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