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On plane-based camera calibration: A general algorithm, singularities, applications

On plane-based camera calibration: A general algorithm, sing...

引用

conference on computer vision and pattern recognition (cvpr)

作者： P.F. Sturm S.J. Maybank Computational Vision Group Department of Computer Science University of Reading Reading UK

We present a general algorithm for plane-based calibration that can deal with arbitrary numbers of views and calibration planes. The algorithm can simultaneously calibrate different views from a camera with variable intrinsic parameters and it is easy to incorporate known values of intrinsic parameters. For some minimal cases, we describe all singularities, naming the parameters that can not be estimated. Experimental results of our method are shown that exhibit the singularities while revealing good performance in non-singular conditions. Several applications of plane-based 3D geometry inference are discussed as well.

关键词： Cameras Calibration Transmission line matrix methods Application software Equations Symmetric matrices computer vision computer science Geometrical optics Printers

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Separating reflections and lighting using independent components analysis

Separating reflections and lighting using independent compon...

引用

conference on computer vision and pattern recognition (cvpr)

作者： H. Farid E.H. Adelson Perceptual Science Group Massachusetts Institute of Technology Cambridge MA USA

The image of an object can vary dramatically depending on lighting, specularities/reflections and shadows. It is often advantageous to separate these incidental variations from the intrinsic aspects of an image. This paper describes how the statistical tool of independent components analysis can be used to separate some of these incidental components. We describe the details of this method and show its efficacy with examples of separating reflections off glass, and separating the relative contributions of individual light sources.

关键词： Optical reflection Independent component analysis Glass Painting Equations Polarization Light sources Pixel Image recognition Robustness

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Indexing using a spectral encoding of topological structure

Indexing using a spectral encoding of topological structure

引用

conference on computer vision and pattern recognition (cvpr)

作者： A. Shokoufandeh S.J. Dickinson K. Siddiqi S.W. Zucker Rutgers University USA Canada Yale University USA

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 into a low-dimensional vector space. Based on a novel eigenvalue characterization of a tree, this topological signature allows us to efficiently retrieve a small set of candidates from a database of models. To accommodate occlusion and local deformation, local evidence is accumulated in each of the tree's topological subspaces. We demonstrate the approach with a series of indexing experiments in the domain of 2-D object recognition.

关键词： Indexing Encoding Tree graphs Object recognition Feature extraction computer vision computer graphics Computational biology Eigenvalues and eigenfunctions Information retrieval

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recognition of strings using nonstationary Markovian models: an application in ZIP code recognition

Recognition of strings using nonstationary Markovian models:...

引用

conference on computer vision and pattern recognition (cvpr)

作者： D. Bouchaffra V. Govindaraju S.N. Srihari Center of Excellence for Document Analysis and Recognition (CEDAR) Department of Computer Science State University of New York Amherst NY USA

This paper presents nonstationary Markovian models and their application to recognition of strings of tokens, such as ZIP codes in the US mailstream. Unlike traditional approaches where digits are simply recognized in isolation, the novelty of our approach lies in the manner in which recognitions scores along with domain specific knowledge about the frequency distribution of various combination of digits are all integrated into one unified model. The domain knowledge is derived from postal directory files. This data feeds into the models as n-grams statistics that are seamlessly integrated with recognition scores of digit images. We present the recognition accuracy (90%) achieved on a set of 20,000 ZIP codes.

关键词： Image recognition Image segmentation Application software pattern recognition Natural languages Venus Text analysis computer science Frequency Feeds

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Norm/sup 2/-based face recognition

Norm/sup 2/-based face recognition

引用

conference on computer vision and pattern recognition (cvpr)

作者： D.B. Graham N.M. Allinson Department of Electrical Engineering and Electronics Institute of Science and Technology University of Manchester Institute of Science and Technology Manchester UK

Increasingly the problems of recognising faces under a variety of viewing conditions, including depth rotations, is being considered in the field. The concept of norm-based coding in face recognition is not new but has been little investigated in machine models. Here we describe a norm-based face recognition system which is capable of generalising from a single training view to recognise novel views of target faces. The system is based upon the characteristic nature faces as they move through a pose-varying eigenspace of facial images and deviations from the norm of a gallery of face images. We illustrate the use of the technique for a large range of pose variation.

关键词： Face recognition Humans Target recognition Image recognition Prototypes Linear discriminant analysis Shape Neural networks Trajectory Vectors

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Exploiting the dependencies in information fusion

Exploiting the dependencies in information fusion

引用

conference on computer vision and pattern recognition (cvpr)

作者： Hao Pan Zhi-Pei Liang T.S. Huang Beckman Institute and ECE Department University of Illinois Urbana IL USA

This paper presents a novel approach for multisensory information fusion in the Bayesian inference framework. Specifically, under the maximum entropy principle, a formula is derived for estimating the joint probabilities of multisensory signals. The formula uses appropriate mapping functions to reflect the dependencies among multisensory signals. Selection of the mappings is guided by the maximum mutual information criterion. In addition, an algorithm is proposed for linear mappings of Gaussian random variables. Experiments on simulated Gaussian data and video/audio signals have been carried out. Preliminary results demonstrate that the proposed method can significantly improve the recognition accuracy for this type of tasks.

关键词： Bayesian methods Random variables Entropy Inference algorithms Computational modeling computer vision Signal mapping Mutual information Ear Signal processing

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Ligature instabilities in the perceptual organization of shape

Ligature instabilities in the perceptual organization of sha...

引用

conference on computer vision and pattern recognition (cvpr)

作者： J. August K. Siddiqi S.W. Zucker Department of Electrical Engineering Yale University USA School of Computer Sciences Canada Department of Computer Science Yale University USA

Although the classical Blum skeleton has long been considered unstable, many have attempted to alleviate this defect through pruning. Unfortunately, these methods have an arbitrary basis, and, more importantly, they do not prevent internal structural alterations due to slight changes in an object's boundary. The result is a relative lack of development of skeleton representations for indexing object databases, despite a long history. Here we revisit a subset of the skeleton-called ligature by Blum-to demonstrate how the topological sensitivity of the skeleton can be eliminated. We relate ligature to a natural growth principle to provide an account of the perceptual parts of shape.

关键词： Shape Skeleton computer science Image databases Vents Indexing History computer vision Visual databases Electric shock

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Fast, robust, and consistent camera motion estimation

Fast, robust, and consistent camera motion estimation

引用

conference on computer vision and pattern recognition (cvpr)

作者： Tong Zhang C. Tomasi Computer Science Department University of Stanford Stanford CA USA

Previous algorithms that recover camera motion from image velocities suffer from both bias and excessive variance in the results. We propose a robust estimator of camera motion that is statistically consistent when image noise is isotropic. Consistency means that the estimated motion converges in probability, to the true value as the number of image points increases. An algorithm based on reweighted Gauss-Newton iterations handles 100 velocity measurements in about 50 milliseconds on a workstation.

关键词： Cameras Motion estimation Noise robustness Image converters Probability Newton method Least squares methods Recursive estimation Velocity measurement Workstations

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Robot localization using uncalibrated camera invariants

Robot localization using uncalibrated camera invariants

引用

conference on computer vision and pattern recognition (cvpr)

作者： M. Werman S. Banerjee S.D. Roy Maolin Qiu Institute of Computer Science Hebrew University Jerusalem Israel Department of Computer Science and Engineering Indian Institute of Technology New Delhi India

We describe a set of image measurements which are invariant to the camera internals but are location variant. We show that using these measurements it is possible to calculate the self-localization of a robot using known landmarks and uncalibrated cameras. We also show that it is possible to compute, using uncalibrated cameras, the Euclidean structure of 3-D world points using multiple views from known positions. We are free to alter the internal parameters of the camera during these operations. Our initial experiments demonstrate the applicability of the method.

关键词： Robot vision systems Cameras Robot kinematics Robotics and automation computer science Service robots Robot sensing systems Calibration Mobile robots Navigation

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Deformable shape detection and description via model-based region grouping

Deformable shape detection and description via model-based r...

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conference on computer vision and pattern recognition (cvpr)

作者： Lifeng Liu S. Sclaroff Computer Science Department Boston University Boston MA USA

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 deformed shapes from the background, while not merging them with adjacent objects or shadows. The formulation can be used to group image regions based on any image homogeneity predicate; e.g., texture, color or motion. The recovered shape models can be used directly in object recognition. Experiments with color imagery are reported.

关键词： Shape Deformable models Image segmentation Merging Color Computational complexity Lighting computer science Image processing Image edge detection

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