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Profile-based Pottery Reconstruction

Profile-based Pottery Reconstruction

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： M. Kampel R. Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria

A major obstacle to the broader use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently extensive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric information describing an object, and merging geometric, texture and semantic data. We present a fully automated approach to pottery reconstruction based on the fragment profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. We demonstrate the method and give results on synthetic and real data.

关键词： Image reconstruction Three dimensional displays Surface reconstruction pattern recognition conferences Shape computer vision

来源：评论

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Indirect Symbolic Correlation Approach to Unsegmented Text recognition

Indirect Symbolic Correlation Approach to Unsegmented Text R...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： G. Nagy S. C. Seth S. K. Mehta Y. Lin University of Nebraska Lincoln USA Indian Institute of Technology Kanpur India Rensselaer Polytechnic Institute Troy NY USA

The new non-parametric approach to unsegmented text recognition builds two bipartite graphs that result from the feature-level and lexical comparisons of the same word against a reference string which need not include the query word. The lexical graph preserves the relative order of edges in the feature graph corresponding to correctly recognized features. This observation leads to a subgraph-matching formulation of the recognition problem. An initial implementation proves the robustness of the approach for up-to 20% noise introduced in the feature-level graph.

关键词： pattern recognition Wool Bipartite graph conferences computer vision Correlation Gain

来源：评论

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Calibration of a Multicamera Network

Calibration of a Multicamera Network

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Patrick T. Baker Yiannis Aloimonos Center for Automation Research University of Maryland College Park MD USA

With the advent of laboratories containing dozens of cameras, and the possibility of laboratories containing hundreds of cameras, the question of how to calibrate all the cameras has become pressing. While it is certainly possible to calibrate these networks in a labor intensive manner, a simple, stable, and accurate calibration method is still needed. This paper presents such a method, based on textures printable on a laser printer and mounted on a board. We will show what the problems with the current methods are, and show how these problems can be overcome with a novel use of a trilinear constraint related to the vanishing point constraint, which we call the primsatic line constraint. High accuracy with little user effort is achieved with this method.

关键词： Cameras Calibration Equations pattern recognition conferences computer vision Laboratories

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Calibration of A Structured Light-Based Stereo Catadioptric Sensor

Calibration of A Structured Light-Based Stereo Catadioptric ...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Radu Orghidan Joaquim Salvi El Mustapha Mouaddib Computer Vision and Robotics Group Institute of Informatics and Applications Girona Catalonia Spain

Catadioptric sensors are combinations of mirrors and lenses made in order to obtain a wide field of view. In this paper we propose a new sensor that has omnidirectional viewing ability and it also provides depth information about the nearby surrounding. The sensor is based on a conventional camera coupled with a laser emitter and two hyperbolic mirrors. Mathematical formulation and precise specifications of the intrinsic and extrinsic parameters of the sensor are discussed. Our approach overcomes limitations of the existing omni-directional sensors and eventually leads to reduced costs of production.

关键词： Mirrors Cameras Mathematical model Robot sensing systems Equations Laser modes Lasers

来源：评论

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Conformal Rectification of Omnidirectional Stereo Pairs

Conformal Rectification of Omnidirectional Stereo Pairs

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Christopher Geyer Kostas Daniilidis GRASP Laboratory University of Pennsylvania Philadelphia PA USA Department of EECS University of California Berkeley Berkeley CA USA

A pair of stereo images are said to be rectified if corresponding image points have the same y-coordinate in their respective images. In this paper we consider the rectification of two omnidirectional cameras, specifically two parabolic catadioptric cameras. Such systems consist of a parabolic mirror and an orthographically projecting lens. We show that if the image coordinates are represented as a point z in the complex plane, then the rectification is specified by coth -1z. This rectification is shown to be conformal, in that it is locally distortionless, and furthermore, it is unique up to scale and transformation. We show an experiment in which two real images have been rectified and a stereo matching performed.

关键词： Cameras Geometry Equations computer vision pattern recognition conferences Stereo vision

来源：评论

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Automatic 3D modeling of archaeological objects

Automatic 3D modeling of archaeological objects

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Marco Andreetto Nicola Brusco Guido M. Cortelazzo Department of Information Engineering University of Padova Padova ITALY

A wide-spread use of 3D models in archeology application requires low cost equipment and technically simple modeling procedures. In this context methods for automatic 3D modeling based on fully automatic techniques for 3D views registration will play a central role. This paper proposes a very robust procedure which does not require special equipment or skill in order to make 3D models. The results of this paper, originally conceived to address the costs issues of heritage's modeling, can be profitably exploited also in other modeling applications.

关键词： Three dimensional displays Solid modeling Iterative closest point algorithm conferences Frequency domain analysis computer vision pattern recognition

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A Probabilistic Framework for Multi-modal Multi-Person Tracking

A Probabilistic Framework for Multi-modal Multi-Person Track...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Neal Checka Kevin Wilson Vibhav Rangarajan Trevor Darrell Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA

In this paper, we present a probabilistic tracking framework that combines sound and vision to achieve more robust and accurate tracking of multiple objects. In a cluttered or noisy scene, our measurements have a non-Gaussian, multi-modal distribution. We apply a particle filter to track multiple people using combined audio and video observations. We have applied our algorithm to the domain of tracking people with a stereo-based visual foreground detection algorithm and audio localization using a beamforming technique. Our model also accurately reflects the number of people present. We test the efficacy of our system on a sequence of multiple people moving and speaking in an indoor environment.

关键词： Microphones Particle filters Arrays Computational modeling computer vision Filtering pattern recognition

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Omnidirectional stereo systems for robot navigation

Omnidirectional stereo systems for robot navigation

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Giovanni Adorni Monica Mordonini Stefano Cagnoni Antonio Sgorbissa University of Genoa Genoa Italy Department of Computer Engineering University of Parma Parma Italy

This paper discusses how stereo vision achieved through the use of omnidirectional sensors can help mobile robot navigation providing advantages, in terms of both versatility and performance, with respect to the classical stereo system based on two horizontally-displaced traditional cameras. The paper also describes an automatic calibration strategy for catadioptric omnidirectional sensors and results obtained using a stereo obstacle detection algorithm devised within a general framework in which, with some limitations, many existing algorithm designed for traditional cameras can be adapted for use with omnidirectional sensors.

关键词： Sensors Robots Cameras Robot sensing systems Stereo vision Mirrors Robot kinematics

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Creating Virtual Buddha Statues through Observation

Creating Virtual Buddha Statues through Observation

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Katsushi Ikeuchi Atsushi Nakazawa Ko Nishino Takeshi Oishi Institute of Industrial Science University of Tokyo Tokyo Japan

This paper overviews our research on digital preservation of cultural assets and digital restoration of their original appearance. Geometric models are digitally achieved through a pipeline consisting of scanning, registering and merging multiple range images. We have developed a robust simultaneous registration method and an efficient and robust voxel-based integration method. On the geometric models created, we have to align texture images acquired from a color camera. We have developed two texture mapping methods. In an attempt to restore the original appearance of historical heritage objects, we have synthesized several buildings and statues using scanned data and literature survey with advice from experts.

关键词： conferences computer vision pattern recognition

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Iterative Relief

Iterative Relief

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Bruce Draper Carol Kaito Jose Bins Faculdade de Informatica Pontificia Universidade Catolica Porto Alegre Rio Grande do Sul Brazil Computer Science Department Colorado State University Fort Collins CO USA

Feature weighting algorithms assign weights to features according to their relevance to a particular task. Unfortunately, the best-known feature weighting algorithm, ReliefF, is biased. It decreases the relevance of some features and increases the relevance of others when irrelevant attributes are added to the data set. This paper presents an improved version of the algorithm, Iterative Relief, and shows on synthetic data that it removes the bias found in ReliefF. This paper also shows that Iterative Relief outperforms ReliefF on the task of cat and dog discrimination, using real images.

关键词： Distance measurement Training Classification algorithms Noise computer vision conferences Pixel

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