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A visual database system for data and experiment management in model-based computer vision

A visual database system for data and experiment management ...

引用

proceedings of the CAD-based vision workshop

作者： L.G. Shapiro S.L. Tanimoto J.F. Brinkley J.P. Ahrens R.M. Jakobovits L.M. Lewis Department of Computer Science and Engineering FR-35 University of Washington Seattle WA USA

We present the design of a visual database system for data and experiment management. Our system was designed as a general scientific database system, but motivated by and intended for use in model-based computer vision. We provide a unified data model, a highly graphical user interface, an advanced query facility, and an interactive laboratory notebook. We hope that the system, when completed, will aid in scientific experimentation and will promote data sharing in the computer vision research community.< >

关键词： Database systems computer vision Image edge detection Image segmentation Data structures Engineering management Solid modeling Data mining Gray-scale Testing

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On physical models of neural computation and their analog VLSI implementation

On physical models of neural computation and their analog VL...

引用

workshop on physics and Computation

作者： A.G. Andreou Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

Examines computation in a framework where the problem is essentially that of extracting a signal from noise, filtering (selective amplification) or estimation. The discussion is relevant to computational tasks in sensory communication, such as vision, speech and natural language processing. We consider "real" systems, both natural (neural systems) and human engineered (silicon integrated circuits), where information processing takes the form of an irreversible physical process. We argue, and demonstrate experimentally, that it is possible to see the emergence of truly complex processing structures that are commensurate with the physical properties of the computational substrate and are therefore energetically efficient.< >

关键词： Computational modeling Analog computers physics computing Very large scale integration Data mining Integrated circuit noise Filtering computer vision Speech processing Natural language processing

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Merging multiple views using a spherical representation

Merging multiple views using a spherical representation

引用

proceedings of the CAD-based vision workshop

作者： K. Higuchi H. Delingette M. Hebert K. Ikeuchi The Robotics Institute Carnegie Mellon University Pittsburgh PA USA

This paper proposes a new method for building a 3-D model from a set of range images. The method can merge data of free-form surfaces obtained from arbitrary viewing directions, with no prior knowledge of the poses. Our approach is based on matching the spherical representations of an object between the views. To obtain the spherical representation, we deform a discrete mesh to fit the object surface. A variation of the Gaussian curvature metric, which we call simplex angle, is computed at each node on the deformed mesh and mapped to a coordinate on the unit sphere. The transformation of the objects is computed by comparing the simplex angle measure at each node on the unit sphere. The transformation which produces the minimum errors is selected as the best match. We have implemented this method, applied the method to range images of objects from arbitrary viewpoints, and demonstrated the applicability for modeling from observation.< >

关键词： Merging computer graphics Design automation Robot kinematics computer errors computer vision Object recognition Application software Buildings Solid modeling

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Generic object recognition using CAD-based multiple representations

Generic object recognition using CAD-based multiple represen...

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proceedings of the CAD-based vision workshop

作者： S. Das B. Bhanu Chih-Cheng Ho College of Engineering University of California Riverside CA USA Department of Computer Science University of Utah Salt Lake UT USA

Real-world applications of computer vision usually involve a variety of object models making a single model representation somewhat inadequate for object recognition. Multiple representations, on the other hand, allow different matching strategies to be applied for the same object, or even for different parts of the same object. The paper is concerned with the use of CAD-derived hierarchical models having multiple representations/spl minus/concave/convex edges and straight homogeneous generalized cylinder/spl minus/for generic object recognition in outdoor visible imagery. The authors also present a refocused matching algorithm that uses a hierarchically structured model database to facilitate generic object recognition. Experimental results demonstrating generic recognition of objects in perspective, aerial images are presented.< >

关键词： Object recognition Solid modeling Application software Geometry Degradation Shape Educational institutions computer vision Engine cylinders Image databases

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An investigation into the use of physical modelling for the prediction of various feature types visible from different view points

An investigation into the use of physical modelling for the ...

引用

proceedings of the CAD-based vision workshop

作者： A.M. Robey G.A.W. West S. Venkatesh Department of Computer Science School of Computing Curtin University of Technology Australia

Describes a general purpose flexible technique which uses physical modelling techniques for determining the features of a 3D object that are visible from any predefined view. Physical modelling techniques are used to determine which of many different types of features are visible from a complete set of viewpoints. The power of this technique lies in its ability to detect and parameterise object features, regardless of object complexity. Raytracing is used to simulate the physical process by which object features are visible so that surface properties (e.g. specularity, transparency) as well as object boundaries can be used in the recognition process. Using this technique occluding and non-occluding edge based features are extracted using image processing techniques and then parameterised. Features caused by specularity are also extracted and qualitative descriptions for these are defined.< >

关键词： Predictive models Feature extraction Data mining computer vision Object recognition Layout Humans Image generation computer science physics computing

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Rapid object recognition from a large model database

Rapid object recognition from a large model database

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proceedings of the CAD-based vision workshop

作者： J.H. Yi D.M. Chelberg Geometric Modeling and Perceptual Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

A design for a system to perform object recognition from a large model data base is presented, focusing on efficient indexing. The authors propose a decision-theoretic approach using a Bayesian framework to achieve efficient indexing of model objects. A decision-theoretic measure of the discriminatory power of a feature for a model object is defined in terms of posterior probability. Domain-specific knowledge compiled off-line from CAD model data is used in order to estimate posterior probabilities that define the discriminatory power of features for model objects. Detectability of a feature defined as a function of the feature itself, viewpoint, sensor characteristics, and the feature detection algorithm(s) is also considered in the computation of discriminatory power. In order to speed up the indexing or selection of the correct objects, the authors generate and verify the object hypotheses for the features detected in the scene in the order of the discriminatory power of these features for model objects.< >

关键词： Object recognition Power system modeling Indexing computer vision Spatial databases Bayesian methods Power measurement Sensor phenomena and characterization Power generation Object detection

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Analog computation with continuous ODEs

Analog computation with continuous ODEs

引用

workshop on physics and Computation

作者： M.S. Branicky Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA

Demonstrates simple, low-dimensional systems of ODEs that can simulate arbitrary finite automata, push-down automata, and Turing machines. We conclude that there are systems of ODEs in R/sup 3/ with continuous vector fields possessing the power of universal computation. Further, such computations can be made robust to small errors in coding of the input or measurement of the output. As such, they represent physically realizable computation. We make precise what we mean by "simulation" of digital machines by continuous dynamical systems. We also discuss elements that a more comprehensive ODE-based model of analog computation should contain. The "axioms" of such a model are based on considerations from physics.< >

关键词： Analog computers Computational modeling Automata physics computing Robustness computer science computer simulation Power measurement computer networks Neural networks

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A model based approach to labelling human body outlines

A model based approach to labelling human body outlines

引用

IEEE workshop on Motion of Non-Rigid and Articulated Objects

作者： M.K. Leung Yee Hong Yang Division of Computer Technology School of Applied Science Nanyang Technological University Singapore Computer Vision Laboratory Department of Computational Scien University of Saskatchewan Saskatoon SAS Canada

To understand human body motion, one has to be able to identify different body parts. Because of the flexibility of the human body, numerous possible configurations are possible. The paper proposes a novel model based approach to label the outline of a human body. based on the model, key features of the body can then be identified. In addition, we propose the use of the concept of support, a commonly used notion in dance representation. In our work, a support is defined as the structure on which the body rests. The experimental results of the proposed approach in labeling outlines are very encouraging.< >

关键词： Biological system modeling Labeling Humans Data mining computer vision Arm Leg Laboratories Motion analysis Skeleton

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modeling Gauss Markov random fields at multiple resolutions

Modeling Gauss Markov random fields at multiple resolutions

引用

IEEE-IMS workshop on Information Theory and Statistics

作者： S. Krishnamachari R. Chellappa Department of Electrical Engineering and Institute for Advanced Computer Studies University of Maryland College Park MD USA

A multiresolution model for Gauss Markov random fields (GMRF) is presented. based on information theoretic measures, techniques are presented to estimate the GMRF parameters of a process at coarser resolutions from th... 详细信息

关键词： Gaussian processes Markov random fields Spatial resolution Lattices Parameter estimation Image resolution Image processing Educational institutions computer vision Random variables

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Compilation of mosaics from separately scanned line drawings

Compilation of mosaics from separately scanned line drawings

引用

IEEE workshop on Applications of computer vision (WACV)

作者： R.D.T. Janssen A.M. Vossepoel Faculty of Applied Physics Pattern Recognition Group Delft University of Technnology Delft Netherlands

In automatic line drawing interpretation (e.g. map interpretation), one of the problems encountered is the finite size of scanners, or that scanners of the required size are not available. Often, one large scan is necessary for the interpretation process, instead of several smaller ones generated by the usual scanning in parts. This paper describes a method for automatically compiling mosaics from separately scanned line drawings. A mosaic is a collection of separately obtained images which are combined to form one larger image. The method is based on vectorization of the line drawings, which is used to select the control points for a geometric transformation automatically. It is not necessary to specify the overlap area between the line drawings. The resulting system is evaluated using large scale maps. Experiments with different overlaps between the line drawings were done. Results are good: the algorithm succeeds in finding accurate parameters for the transformation.< >

关键词： Large-scale systems Automatic control Airplanes physics Pattern recognition computer errors Control systems Robustness

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