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Sensor Errors and the Uncertainties in Stereo Reconstruction
 Empirical Evaluation Techniques in Computer Vision
, 1998
"... An important objective in the evaluation of algorithms with sensory inputs is the development of measures characterizing the intrinsic errors in the results. Intrinsic are those errors which are caused by noise in the input data. The particular application which we consider is 3D reconstruction fro ..."
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Cited by 10 (3 self)
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An important objective in the evaluation of algorithms with sensory inputs is the development of measures characterizing the intrinsic errors in the results. Intrinsic are those errors which are caused by noise in the input data. The particular application which we consider is 3D reconstruction from stereo. We demonstrate that a radiometric correction of the images could improve signi cantly the accuracy. We propose a con dence interval approach for quantifying the precision. We also illustrate the use of the con dence intervals for the rejection of unreliable 3D points.
3D Data Acquisition and Interpretation for Virtual Reality and Telepresence
 in Proc. IEEE/ATR Workshop Computer Vision for Virtual Reality Based Human Communications
, 1998
"... We present our longterm effort focused on building a 3D model acquisition system for teleimmersion applications. In our project we stress fast processing and high fidelity of the result: it is not just geometric accuracy of the recovered geometric model but also radiometric correctness of the reco ..."
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Cited by 7 (2 self)
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We present our longterm effort focused on building a 3D model acquisition system for teleimmersion applications. In our project we stress fast processing and high fidelity of the result: it is not just geometric accuracy of the recovered geometric model but also radiometric correctness of the recovered surface texture. We suggest that singletype geometric model is not sufficient for modeling large and complex scenes. In this paper, a hierarchy of representations suitable for 3D structure models recoverable from visual data is presented and the related problems of data acquisition and fusion, outlier identification, and models reconstruction are discussed. 1 Introduction The goal of teleimmersion is to provide people at remote places with realistic experiences that they are all sharing virtual and `real' objects, including their partners present `in the same room.' This is done by creating a virtual world for each participant, one that is a dynamically updated representation of th...
Precision in 3D Points Reconstructed from Stereo
, 1997
"... We characterize the precision of a 3D reconstruction from stereo: we derive confidence intervals for the components (X; Y; Z) of the reconstructed 3D points. The precision assessment can be used in data rejection, data reduction, and data fusion of the 3D points. Also, based on the confidence int ..."
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Cited by 3 (2 self)
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We characterize the precision of a 3D reconstruction from stereo: we derive confidence intervals for the components (X; Y; Z) of the reconstructed 3D points. The precision assessment can be used in data rejection, data reduction, and data fusion of the 3D points. Also, based on the confidence intervals a bad/failing stereo camera pair can be detected, and discarded from a polynocular stereo system. Experimentally, we have evaluated the performance of the confidence intervals for Z in terms of empirical capture frequencies vs theoretical probability of capture for a test, ground truth, scene. We have tested the interval estimation procedure on more complex scenes (for example human faces), but since we do not have ground truth models, we have evaluated the performance in such cases only qualitatively. Currently we are developing "ground truth" models for more complex (such as general indoor) scenes, and will evaluate quantitatively the performance of the confidence intervals for thes...