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 (19)  |  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
  • The customized-queries approach to CBIR using EM

    Publication Year: 1999
    Cited by:  Papers (7)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (648 KB)

    This paper makes two contributions. The first contribution is an approach called the “customized-queries” approach (CQA) to content-based image retrieval. The second is an algorithm called FSSEM that performs feature selection and clustering simultaneously. The customized queries approach first classifies a query using the features that best differentiate the major classes and then cus... View full abstract»

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  • Stochastic image segmentation by typical cuts

    Publication Year: 1999
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (576 KB)

    We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochastic nature of our method makes it robust against noise, including accidental edges and small spurious clusters. We demonstrate the robustness and superiority of our method for image segmentation on a few synthetic example... View full abstract»

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  • Combining central and peripheral vision for reactive robot navigation

    Publication Year: 1999
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (740 KB)

    In this paper we present a new method for vision-based, reactive robot navigation that enables a robot to move in the middle of the free space by exploiting both central and peripheral vision. The robot employs a forward-looking camera for central vision and two side-looking cameras for sensing the periphery of its visual field. The developed method combines the information acquired by this trinoc... 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 new Bayesian framework for object recognition

    Publication Year: 1999
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB)

    We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an efficienct solution for a wide class of priors that explicitly model dependencies between individual features of an object. These priors capture phenomena such as the fact that unmatched features due to partial occlusion are ge... View full abstract»

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  • Robust visual servoing based on relative orientation

    Publication Year: 1999
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB)

    In this paper the problem of controlling the spatial position and orientation of a robotic platform based on the image data obtained from a video camera mounted on that platform is considered. More specifically, we propose control laws that generate translational and angular velocities that will cause the robot to achieve and maintain a fixed position and orientation with respect to a set of featu... View full abstract»

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

    Publication Year: 1999
    Cited by:  Papers (13)  |  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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  • 3D trajectory recovery for tracking multiple objects and trajectory guided recognition of actions

    Publication Year: 1999
    Cited by:  Papers (57)  |  Patents (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (748 KB)

    A mechanism is proposed that integrates low-level (image processing), mid-level (recursive 3D trajectory estimation), and high level (action recognition) processes. It is assumed that the system observes multiple moving objects via a single, uncalibrated video camera. A novel extended Kalman filter formulation is used in estimating the relative 3D motion trajectories up to a scale factor. The recu... 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 (3)
    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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  • 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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  • Learning 2D shape models

    Publication Year: 1999
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (724 KB)

    A new fully automated shape learning method is presented. It is based on clustering a set of training shapes in the original shape space (defined by the coordinates of the contour points) and performing a Procrustes analysis on each cluster to obtain cluster prototypes and information about shape variation. The main difference from previously reported methods is that the training set is first auto... View full abstract»

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  • Eigenshapes for 3D object recognition in range data

    Publication Year: 1999
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB)

    Much of the recent research in object recognition has adopted an appearance-based scheme, wherein objects to be recognized are represented as a collection of prototypes in a multidimensional space spanned by a number of characteristic vectors (eigen-images) obtained from training views. In this paper, we extend the appearance-based recognition scheme to handle range (shape) data. The result of tra... View full abstract»

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

    Publication Year: 1999
    Cited by:  Papers (22)  |  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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  • 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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  • Efficient bundle adjustment with virtual key frames: a hierarchical approach to multi-frame structure from motion

    Publication Year: 1999
    Cited by:  Papers (7)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (500 KB)

    In this paper we present an efficient hierarchical approach to structure from motion for long image sequences. There are two key elements to our approach: accurate 3D reconstruction for each segment and efficient bundle adjustment for the whole sequence. The image sequence is first divided into a number of segments so that feature points can be reliably tracked across each segment. Each segment ha... View full abstract»

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  • Image interpolation by joint view triangulation

    Publication Year: 1999
    Cited by:  Papers (21)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (820 KB)

    Creating novel views by interpolating prestored images or view morphing has many applications in visual simulation. We present in this paper a new method of automatically interpolating two images which tackles two most difficult problems of morphing due to the lack of depth informational pixel matching and visibility handling. We first describe a quasi-dense matching algorithm based on region grow... View full abstract»

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  • Vision-based speaker detection using Bayesian networks

    Publication Year: 1999
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB)

    The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individuals must be inferred from noisy and ambiguous data. We argue that Bayesian network models are an attractive statistical framework for cue fusion in these applications. Bayes nets combine a natural mechanism for expressing... 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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  • Shape from recognition and learning: recovery of 3-D face shapes

    Publication Year: 1999
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (692 KB)

    In this paper a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that pre-recognizing face parts can constrain the space of possible solutions to the image irradiance equation, thus allowing robust recovery of the 3D structure of a specific part. Shape recovery of the recognized part is based... View full abstract»

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  • Adaptive balloon models

    Publication Year: 1999
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB)

    The original snake models require a close initialization which in many situations are difficult to acquire. The balloon model presented by Cohen et al. to solve this problem suffers from the difficulty of choosing a constant inflating force due to variable internal shrinking forces and non-constant boundary intensity levels. Xu et al., on the other hand, proposed to use a pressure force to exactly... View full abstract»

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  • Object recognition with color cooccurrence histograms

    Publication Year: 1999
    Cited by:  Papers (45)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (732 KB)

    We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain separation distances in image space. The color CH adds geometric information to the normal color histogram, which abstracts away all geometry. We compute model CHs based on images of known objects taken from different points... View full abstract»

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  • Efficient iterative solution to M-view projective reconstruction problem

    Publication Year: 1999
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (508 KB)

    We propose an efficient solution to the general M-view projective reconstruction problem, using matrix factorization and iterative least squares. The method can accept input with missing data, meaning that not all points are necessarily visible in all views. It runs much faster than the often-used non-linear minimization method, while preserving the accuracy of the latter. The key idea is to conve... View full abstract»

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