Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carr...
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.
A new real-time 3d sensor is presented that is capable of delivering 25 high-resolution depth maps per second with a representative measurement error of 0.2 mm. The sensor is well suited for real-world application as ...
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ISBN:
(纸本)9780769528250
A new real-time 3d sensor is presented that is capable of delivering 25 high-resolution depth maps per second with a representative measurement error of 0.2 mm. The sensor is well suited for real-world application as it imposes no major scene constraints, i.e. it copes well with colored objects, moving scenes and background illumination. The acquisition technique, which is a form of structured light with a single projection pattern, is introduced, where the focus is on two aspects: Firstly, a new type of projection pattern that employs local color edge patterns for encoding so that it is possible to decode them even under noisy real. world conditions. Secondly, an algorithm that exploits the pattern properties to recognize the projected color edge patterns reliably. It then describes a 3d sensor based on this technique and presents experimental results obtained with it. It furthermore discusses an exemplary commercial application of the 3d sensor to the task of wheel alignment.
This paper addresses the problem of remote browsing of 3d scenes. Texture and geometry information are both available at server side in the form of scalably compressed images anddepth maps. We propose a framework for...
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ISBN:
(纸本)9780769528250
This paper addresses the problem of remote browsing of 3d scenes. Texture and geometry information are both available at server side in the form of scalably compressed images anddepth maps. We propose a framework for the dynamic allocation of the available transmission resources between geometry and texture. Both the transmission of new images and the improvement of the already transmitted ones are taken into account. We also introduce a novel strategy for distortion-sensitive synthesis of both geometry and rendered imagery at client side.
Recent efforts attempt to combine together information of different passive methods. Critical issues in this research are the choice of data and how to combine such data in order to increase the overall information. T...
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ISBN:
(纸本)9780769528250
Recent efforts attempt to combine together information of different passive methods. Critical issues in this research are the choice of data and how to combine such data in order to increase the overall information. The combination of stereo matching and silhouette information has recently received considerable attention both for obtaining high quality 3d models and for modelling 3ddynamic scenes. In this paper we present a 3d shape recovery system which fuse together silhouette, texture and shadow information. More precisely, we formulate the fusion problem of these three types of information. Experimental verification shows that the new method is capable to reconstruct a wider range of objects.
In this paper, we introduce a new system for face recognition by matching 3d face shape. This algorithm selects multiple regions of the face for matching in an attempt to reduce the effects caused by variations in exp...
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ISBN:
(纸本)9780769528250
In this paper, we introduce a new system for face recognition by matching 3d face shape. This algorithm selects multiple regions of the face for matching in an attempt to reduce the effects caused by variations in expression between gallery and probe images. Experimental results are reported using the Face Recognition Grand Challenge v2.0 data set. Our results demonstrate improved performance relative to those of four previous papers using this same data set.
In this paper a novel method for 3d content-based search and retrieval is proposed. Guided by the imperative need for a reliable 3d content based search tool and the very interesting results of research work done in t...
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ISBN:
(纸本)9780769528250
In this paper a novel method for 3d content-based search and retrieval is proposed. Guided by the imperative need for a reliable 3d content based search tool and the very interesting results of research work done in the past on the performance of Krawtchouk moments and Krawtchouk moment invariants in image processing, Weighted3d Krawtchouk moments are introduced for efficient 3d analysis which are suitable for content-based search and retrieval applications. The proposed method was tested on Princeton Shape Benchmark. Experiments have shown that the proposed method is superior in terms of precision-recall comparing with other well-known methods reported in the literature.
In this paper we derive a novel set of projective invariants and we address the problem of homography estimation between two uncalibrated views from two unmodeled coplanar conics. Exploring in each view the eigenvecto...
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ISBN:
(纸本)9780769528250
In this paper we derive a novel set of projective invariants and we address the problem of homography estimation between two uncalibrated views from two unmodeled coplanar conics. Exploring in each view the eigenvectors of a matrix composed from the conics matrices and pole-polar relationships, we show that homography can be recovered purely geometrical from invariant points and simple intersections avoiding high-order polynomials and non linear equations. Our method has advantages compared with other approaches, is simple and computational efficient. The estimation process is basically linear and there are no ambiguities on the solution. Furthermore it requires neither that the physical models of the conics are known nor that the cameras are calibrated. Experimental results in both simulate data and real images show that our approach is very robust and can be efficiently used for a large number of applications
Previous works have shown that the ear is a good candidate for a human biometric. However in prior work, the pre-processing of ear images has been a manual process. Also, prior algorithms were sensitive to noise in th...
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ISBN:
(纸本)9780769528250
Previous works have shown that the ear is a good candidate for a human biometric. However in prior work, the pre-processing of ear images has been a manual process. Also, prior algorithms were sensitive to noise in the data, especially that caused by hair and earrings. We present a novel solution to the automated cropping of the ear and implement it in an end-to-end solution for biometric recognition. We demonstrate our automatic recognition process with the largest study to date in ear biometrics, 415 subjects, achieving a rank one recognition rate of 97.6%. This work represents a breakthrough in ear biometrics and paves the way for commercial quality, fully automatic systems.
Oil and gas exploration decisions are made based on inferences obtained from seismic data interpretation. The interpretation task is getting very time-consuming as seismic data sets become larger Image processing tool...
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ISBN:
(纸本)9780769528250
Oil and gas exploration decisions are made based on inferences obtained from seismic data interpretation. The interpretation task is getting very time-consuming as seismic data sets become larger Image processing tools such as auto-trackers assist manual interpretation of horizons-visible boundaries between certain sediment layers in seismic data. Auto-trackers assume data continuities;therefore, their assistance is very limited in areas of discontinuities such as faults. In this paper, we present a method for automatic horizon matching across faults based on a Bayesian approach. A stochastic matching model which integrates 3d spatial information of seismic data and prior geological knowledge is introduced. The optimal matching solution is found by MAP estimate of this model. A simulated annealing with reversible jump Markov Chain Monte Carlo algorithm is employed to sample from a-posteriori distribution. The model was applied to real 3d seismic data, and has shown to produce geologically acceptable horizons matchings.
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