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Background mosaic from egomotion

Background mosaic from egomotion

引用

International Conference on pattern recognition

作者： R. Megret C. Saraceno W. Kropatsch École Normale Supérieure de Lyon Lyon France Starlab NV Brussels Belgium Pattern Recognition and Image Processing group University of Technology Vienna Vienna Austria

ISBN: (纸本)0769507506

A framework is presented that produces the mosaic corresponding to the background object of an image sequence. It is based on the dominant motion assumption, which states that the background has a parametric motion and occupies the main part of the images. The foreground objects are localised by their different motion. This localisation is computed together with the background motion in an iterative method. The regions corresponding to the background are then pasted onto the mosaic using classic methods adapted to object elimination or a new mosaicking method based on a striping that takes the foreground objects localisation into account.

关键词： image segmentation Pixel Parametric statistics pattern recognition image processing image sequences Iterative methods Video sequences Buildings Motion segmentation

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On estimating the position of fragments on rotational symmetric pottery 2

On estimating the position of fragments on rotational symmet...

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2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999

作者： Sablatnig, Robert Menard, Christian Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Treitlstr. 3 183-2 WienA-1040 Austria

ISBN: (纸本)0769500625

The activation of ancient vessel-fragments is a time consuming but important task for archaeologists. The basis for classification and reconstruction is the profile which is the cross-section of the fragment in the direction of the rotational axis of symmetry. Hence the position of a fragment (orientation) on a vessel is important. In this work the estimation of the axis of rotation out of range data by using a Hough inspired method is proposed. In order to avoid outliers a robust method for estimation of the axis is used. Classification and reconstruction are performed in a bottom-up manner using a description language, which holds all features of the fragment as primitives and all properties among features as relations. Classification of newly found fragments of unknown type is performed by comparing the description of the new fragment with the description of already classified fragments by completing graph similarity. The sub-graph with the highest similarity is then used to reconstruct the complete vessel out of the fragment. © 1999 IEEE.

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An implementation of postal numerals segmentation and recognition system for Chinese business letters 5

An implementation of postal numerals segmentation and recogn...

引用

5th International Conference on Document Analysis and recognition, ICDAR 1999

作者： Lu, Yue Shi, Pengfei Wu, Jianzhong Rui, Jianming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200030 China Third Research Institute Ministry of Post and Telecommunication Shanghai200062 China

ISBN: (纸本)0769503187

In this paper, a practical postal numeral segmentation and recognition system for Chinese business letters is presented. Line information for the address blocks is gained from the envelope image by projection, then the sub-image of the postal numerals is segmented. The numerals are recognized by three independent classifiers, and their results are combined to form final results. An improved voting principle based on a priori knowledge of each classifier is utilized to combine multiple classifiers in order to achieve perfect performance for high recognition rate and low error rate. The recognition ability of each classifier, acting with the voting principle, is obtained by statistics for a large set of samples. Different thresholds gained by training are employed for different classes, which can yield better results. A parallel structure hardware is designed to implement a real-time image processing system. The performance of the system is shown to be satisfactory, sufficient for the requirements of practical use. © 1999 IEEE.

关键词： Real time systems

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On estimating the position of fragments on rotational symmetric pottery

On estimating the position of fragments on rotational symmet...

引用

International Conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

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

关键词： image reconstruction Ceramics Automation pattern recognition image processing Cultural differences Global communication Shape Production Consumer behavior

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An implementation of postal numerals segmentation and recognition system for Chinese business letters

An implementation of postal numerals segmentation and recogn...

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International Conference on Document Analysis and recognition

作者： Yue Lu Pengfei Shi Jianzhong Wu Jianming Rui Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China The Third Research Institute Ministry of Posts and Telecommunications Shanghai China

ISBN: (纸本)0769503187

A practical postal numeral segmentation and recognition system for Chinese business letters is presented. Line information for the address blocks is gained from the envelope image by projection, then the sub-image of the postal numerals is segmented. The numerals are recognized by three independent classifiers, and their results are combined to form final results. An improved voting principle based on a priori knowledge of each classifier is utilized to combine multiple classifiers in order to achieve perfect performance for high recognition rate and low error rate. The recognition ability of each classifier, acting with the voting principle, is obtained by statistics for a large set of samples. Different thresholds gained by training are employed for different classes, which can yield better results. A parallel structure hardware is designed to implement a real-time image processing system. The performance of the system is shown to be satisfactory, sufficient for the requirements of practical use.

关键词： image segmentation image processing image recognition Voting Real time systems Character recognition pattern recognition Error analysis Sorting Electronic mail

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Classification of archaeological fragments using a description language 9

Classification of archaeological fragments using a descripti...

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9th European Signal processing Conference, EUSIPCO 1998

作者： Sablatnig, Robert Menard, Christian Kropatseh, Walter Pattern Recognition and Image Processing Group Institute of Automation Vienna University of Technology Treitlstraße 3/183/2 ViennaA-1040 Austria

This paper presents an application of 3D-reconstruction and graph theory in the field of archaeology. The classification and reconstruction of ancient pots and vessels out of fragments (so-called sherds) is an important aspect of archaeological research work. Up to now this is a time consuming, inaccurate, and subjective task which leads to tons of unclassified fragments in archives. Computer aided classification could help to get a better understanding of ancient cultures, since all data of an excavation would be accessible to the public, not only- selected parts as it is now. We propose a bottom-up strategy to classify fragments. The profile section (which is a section a the fragment in the direction of the rotational axis) is segmented into its primitives (with certain properties like length) and relations among this primitives (like position and curvature of connecting points). These primitives and the relations form a description language, different profiles have different descriptions.

关键词： Graph theory

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Stroke detection of brush strokes in portrait miniatures using a semi-parametric and a model based approach

Stroke detection of brush strokes in portrait miniatures usi...

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International Conference on pattern recognition

作者： T. Melzer P. Kammerer E. Zolda Pattern Recognition & Image Processing Group University of Technology Vienna Vienna Austria

The arrangement of brush strokes is an important criterion in classifying portrait miniatures. In order to detect single brush strokes we used both a model based and a semi-parametric, neural network approach. The per... 详细信息

关键词： image edge detection Art image segmentation Humans Detectors Brightness pattern recognition Assembly Testing Interpolation

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Hierarchical classification of paintings using face- and brush stroke models

Hierarchical classification of paintings using face- and bru...

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International Conference on pattern recognition

作者： R. Sablatnig P. Kammerer E. Zolda Institute of Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

It is often difficult to attribute works of art to a certain artist. In the case of paintings, radiological methods like X-ray and infra-red diagnosis, digital radiography, computer-tomography, etc. and color analyzes are employed to authenticate works of art. But all these methods do not relate certain characteristics of an art work to a specific artist-the artist's personal style. In order to study this personal style, we examine the "structural signature" based on brush strokes in particular in portrait miniatures. A computer-aided classification and recognition system for portrait miniatures is developed, which enables a semi-automatic classification based on brush strokes. A hierarchically structured classification scheme is introduced which separates the classification into three different levels of information: color, shape of region, and structure of brush strokes.

关键词： Painting Art Humans Face Automation pattern recognition image processing Postal services Trademarks Rhythm

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Minimizing the topological structure of line images 7th

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7th Joint IAPR International Workshop on Structural and Syntactic pattern recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in pattern recognition, SPR 1998

作者： Kropatsch, Walter G. Burge, Mark Vienna University of Technology Institute of Automation 183/2 Pattern Recognition and Image Processing Group Treitlstr.3 WienA-1040 Austria Johannes Kepler University Institute of Systems Science Computer Vision Laboratory LinzA-4040 Austria

ISBN: (纸本)3540648585

We present a new algorithm based on Dual Graph Contraction (DGC) to transform the Run Graph into its Minimum Line Property Preserving (MLPP) form which, when implemented in parallel, requires O(log(longestcurve)) steps. A MLPP graph of a line image compliments the structural information in geometric graph representations like the run graph. Using such a graph and its dual, line image analysis systems can efficiently detect topological features like loops and holes and make use of relations like containment. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Topology

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Object-detection with a varying number of eigenspace projections

Object-detection with a varying number of eigenspace project...

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14th International Conference on pattern recognition, ICPR 1998

作者： Reiter, Michael Matas, Jiri Pattern Recognition and Image Processing Group Institute for Automation Vienna University of Technology A-1040 Vienna Austria CVSSP School of EE IT and Mathematics University of Surrey Guildford Surrey GU2 5XH United Kingdom

ISBN: (纸本)0818685123

We present a method allowing a significant speed-up of the eigen-detection method (detection based on principle component analysis). We derive a formula for an upper bound on the class-conditional probability (or equivalently a lower bound on the Mahalanobis distance) on which detection is based. Often, the lower bound of Mahalanobis distance (MD) reaches a preset threshold after computation of only a few eigen-projections. In this case the computation of MD can be immediately terminated. Regardless of the precise value of MD, the detection hypothesis (object from class Ω is detected) can be rejected. While provably obtaining results identical to the standard technique, we achieved a two- to three-fold speed-up in face detection experiments on images from the CMU database. © 1998 IEEE.

关键词： Face recognition

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