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1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

21-23 June 1994

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Displaying Results 1 - 25 of 166
  • Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

    Publication Year: 1994
    Request permission for commercial reuse | PDF file iconPDF (51 KB)
    Freely Available from IEEE
  • Recognizing object function through reasoning about 3-D shape and dynamic physical properties

    Publication Year: 1994, Page(s):546 - 553
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (912 KB)

    Recent work in computer vision has demonstrated positive results in reasoning about possible object function based on analysis of only the object shape. While shape properties are important, verification of actual functionality generally requires consideration of properties beyond pure static shape. In particular, dynamic physical properties such as the degree of deformation or rigidity under appl... View full abstract»

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  • Realistic range rendering

    Publication Year: 1994, Page(s):848 - 851
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    In many model-based object recognition systems, a synthesize-and-verify technique is used to evaluate the quality of hypotheses. This technique synthesises images of hypothesized objects in hypothesized poses, and compares them against the input imagery, producing a matching score. In this paper, we examine the image synthesis process in the context of triangulation-based range finding. We motivat... View full abstract»

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  • Constraint-fusion for interpretation of articulated objects

    Publication Year: 1994, Page(s):39 - 45
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (572 KB)

    This paper presents a method for interpretation of modeled objects that is general enough to cover articulated and other types of constrained models. The flexibility between components of the model are expressed as spatial constraints which are fused into the pose estimation during the interpretation process. The constraint fusion assists in obtaining the correct interpretation and in reducing the... View full abstract»

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  • Illumination planning for object recognition in structured environments

    Publication Year: 1994, Page(s):31 - 38
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB)

    This paper addresses the problem of illumination planning for robust object recognition in structured environments. Given a set of objects, the goal is to determine the illumination for which the objects are most distinguishable in appearance from each other. For each object, a large number of images is automatically obtained by varying pose and illumination. Images of all objects, together, const... View full abstract»

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  • Robust motion analysis

    Publication Year: 1994, Page(s):947 - 952
    Cited by:  Papers (21)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (568 KB)

    We develop a new robust algorithm for the estimation of optic flow and extraction of other motion-relevant information. A novel combination of the Hough Transform, and robust statistical methods results in unbiased estimates for multiple motions, parallel segmentation and estimation and increased robustness to noise and changes of illumination. The algorithm is fast, due to application of multires... View full abstract»

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  • Age classification from facial images

    Publication Year: 1994, Page(s):762 - 767
    Cited by:  Papers (30)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (736 KB)

    The ability to classify age from a facial image has not been pursued in computer vision. This research addresses the limited task of age classification of a facial image into a baby, young adult, and senior adult. This is the first reported work to classify age, and to successfully extract and use natural wrinkles. We present a theory and practical computations for visual age classification from f... View full abstract»

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  • Segmentation of surface curvature using a photometric invariant

    Publication Year: 1994, Page(s):23 - 30
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (876 KB)

    Gaussian curvature is an intrinsic local shape characteristic of a smooth object surface that is invariant to orientation of the object in 3-D space and viewpoint. Accurate determination of the sign of Gaussian curvature at each point on a smooth object surface (i.e., the identification of hyperbolic, elliptical and parabolic points) can provide very important information for both recognition of o... View full abstract»

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  • Determination of motion parameters and estimation of point correspondences in small nonrigid deformations

    Publication Year: 1994, Page(s):943 - 946
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    Recovery of motion parameters and point correspondences is a fundamental problem in computer vision. Although a great deal of research has been done in solving rigid motion, nonrigid motion analysis has only recently been addressed and is gaining interest due to its wide range of applications. This paper introduces a novel method for estimating motion parameters and point correspondences between s... View full abstract»

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  • Geometric heat equation and nonlinear diffusion of shapes and images

    Publication Year: 1994, Page(s):113 - 120
    Cited by:  Papers (16)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (780 KB)

    We propose a geometric smoothing method based on local curvature in shapes and images which is governed by the geometric heat equation and is a special case of the reaction-diffusion framework proposed by Faugeras (1990). For shapes, the approach is analogous to the classical heat equation smoothing, but with a renormalization by arc-length at each infinitesimal step. For images, the smoothing is ... View full abstract»

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  • Face recognition under varying pose

    Publication Year: 1994, Page(s):756 - 761
    Cited by:  Papers (83)  |  Patents (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (652 KB)

    Researchers in computer vision and pattern recognition have worked on automatic techniques for recognizing human faces for the last 20 years. While some systems, especially template-based ones, have been quite successful on expressionless, frontal views of faces with controlled lighting, not much work has taken face recognizers beyond these narrow imaging conditions. Our goal is to build a face re... View full abstract»

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  • MDL-based spatiotemporal segmentation from motion in a long image sequence

    Publication Year: 1994, Page(s):448 - 453
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB)

    This paper presents a method for spatiotemporal segmentation of long sequences of images which include multiple independently moving objects, based on the Minimum Description Length (MDL) principle. Spatiotemporal (ST) segments in the image sequence are extracted, each of which consists of edge segments having similar motions. First, we construct a family of motion models, each of which is complet... View full abstract»

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  • Medium level scene representation using a VLSI smart hexagonal sensor with multiresolution edge extraction capability and scale space integration processing

    Publication Year: 1994, Page(s):632 - 637
    Cited by:  Papers (1)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (588 KB)

    This paper presents a sensing approach where photo-transduction, multi-resolution feature extraction, scale-space integration and edge tracking are performed on a mixed (digital-analog) VLSI architecture in order to generate medium-level scene description. The proposed system is mainly targeted for robot vision applications where feature description is preferred to a set of raw or raster 2D images... View full abstract»

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  • The outlier process: unifying line processes and robust statistics

    Publication Year: 1994, Page(s):15 - 22
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (656 KB)

    This paper unifies “line-process” approaches for regularization with discontinuities and robust estimation techniques. We generalize the notion of a “line process” to that of an analog “outlier process” and show that a problem formulated in terms of outlier processes can be viewed in terms of robust statistics. We also characterize a class of robust statistical ... View full abstract»

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  • A Markov random field model for object matching under contextual constraints

    Publication Year: 1994, Page(s):866 - 869
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    This paper presents a Markov random field (MRF) model for object recognition in high level vision. The labeling state of a scene in terms of a model object is considered as an MRF or couples MRFs. Within the Bayesian framework the optimal solution is defined as the maximum a posteriori (MAP) estimate of the MRF. The posterior distribution is derived based on sound mathematical principles from theo... View full abstract»

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  • Reconstruction of high resolution 3D visual information

    Publication Year: 1994, Page(s):654 - 657
    Cited by:  Papers (11)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    Given a set of low resolution camera images, it is possible to reconstruct high resolution luminance and depth information, specially if the relative displacements of the image frames are known. We propose iterative algorithms for recovering hash resolution albedo and depth maps that require no a priori knowledge of the scene, and therefore do not depend on other methods, as regards boundary and i... View full abstract»

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  • Motion estimation and vector splines

    Publication Year: 1994, Page(s):939 - 942
    Cited by:  Papers (38)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    Many formulations of visual reconstruction problems (e.g. optic flow, shape from shading, biomedical motion estimation from CT data) involve the recovery of a vector field. Often the solution is characterized via a generalized spline or regularization formulation using a smoothness constraint. This paper introduces a decomposition of the smoothness constraint into two parts: one related to the div... View full abstract»

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  • The capacity of color histogram indexing

    Publication Year: 1994, Page(s):704 - 708
    Cited by:  Papers (40)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB)

    Color histogram matching has been shown to be a promising way of quickly indexing into a large image database. Yet, few experiments have been done to test the method on truly large databases, and even if they were performed, they would give little guidance to a user wondering if the technique would be useful with his or her database. In this paper we define and analyze a measure relevant to extend... View full abstract»

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  • Merging range images of arbitrarily shaped objects

    Publication Year: 1994, Page(s):573 - 580
    Cited by:  Papers (55)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB)

    Range data offer a direct way to produce shape descriptions of surfaces. Typically single range images have the form of a graph surface z=g(z,y) and thus suffer from occlusion. One can reduce this problem by taking several images from different locations and merging them together. The result is a real 3-D description of the object's surface. In this paper we address several problems that result fr... View full abstract»

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  • Automated design of Bayesian perceptual inference networks

    Publication Year: 1994, Page(s):98 - 103
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB)

    We previously presented (Sarkar and Boyer, 1993) the Perceptual Inference Network (PIN), a formalism based on Bayesian Networks, to reason among a set of object or feature hypotheses and to integrate multiple sources of information in the context of perceptual organization. The design of a PIN requires knowledge of the dependency structure among the organizations of interest and the specification ... View full abstract»

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  • Accurate vergence control in complex scenes

    Publication Year: 1994, Page(s):540 - 545
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (700 KB)

    In binocular visual systems, vergence is the process of directing the gaze so that the optical axes intersect at a surface point. Correlation-based methods of disparity analysis provide fast estimates of the vergence error. Unfortunately most correlation techniques do not provide mechanisms to determine which image locations contributed to a given correlation peak. The result is that large correla... View full abstract»

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  • Recognition by using an active/space-variant sensor

    Publication Year: 1994, Page(s):833 - 837
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB)

    The problem of object recognition is addressed. In the literature this task has been generally considered in a “passive” perspective, where everything is static and there is no definite relation between the object and its environment. We propose an “active” approach for object recognition, based on the capability of the observer to move and give a better description of the ... View full abstract»

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  • Shape analysis of brain structures using physical and experimental modes

    Publication Year: 1994, Page(s):752 - 755
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    We present a framework for analyzing the shape of structures within the human brain. A mathematical model is developed describing the deformation of any brain structure whose shape is affected by both gross and detailed physical processes. The total shape deformation is decomposed into physical modes of variation obtained from finite element analysis, and experimental modes of variation obtained f... View full abstract»

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  • The development of the Image Understanding Environment

    Publication Year: 1994, Page(s):443 - 447
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (476 KB)

    The Image Understanding Environment (IUE) project is a five year program, sponsored by ARPA, to develop a common object-oriented software environment for the development of algorithms and application systems. This paper reviews the design of this system and provides an overview of the distributed implementation effort currently underway at Amerinex AI, Advanced Decision Systems, Carnegie Mellon Un... View full abstract»

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  • Detection of buildings using perceptual grouping and shadows

    Publication Year: 1994, Page(s):62 - 69
    Cited by:  Papers (28)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (760 KB)

    We describe a system for detection and description of buildings in aerial scenes. This is a difficult task as the aerial images contain a variety of objects. Low-level segmentation processes give highly fragmented segments due to a number of reasons. We use a perceptual grouping approach to collect these fragments and discard those that come from other sources. We use shape properties of the build... View full abstract»

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