Book ChapterDOI
Photogrammetric standard methods and digital image matching techniques for high precision surface measurements
Wolfgang Förstner,Alfred Pertl +1 more
- pp 57-72
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TLDR
The paper discusses the methodology of analytical photogrammetry, the theoretical accuracy of stereopsy and the features of the image matching system.Abstract:
Photogrammetry is a flexible 3D-measuring technique based on images of the object. Its relative precision, ranging from 1:30 000 to 1:300 000, is due to the high quality of the hardware and the simultaneous treatment of all geometric information in a joint least squares estimation. The interactive measuring process allows a stepwise integration of algorithms from pattern recognition to support or replace manual tasks. A new image matching procedure has been developed and implemented on an analytical measuring device for high precision surface measurements. The paper discusses the methodology of analytical photogrammetry, the theoretical accuracy of stereopsy and the features of the image matching system.read more
Citations
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Proceedings ArticleDOI
Good features to track
Jianbo Shi,Tomasi +1 more
TL;DR: A feature selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not correspond to points in the world are proposed.
Journal ArticleDOI
A stereo matching algorithm with an adaptive window: theory and experiment
Takeo Kanade,Masatoshi Okutomi +1 more
TL;DR: In this paper, the authors proposed an adaptive window selection method to select an appropriate window by evaluating the local variation of the intensity and the disparity within the window, which is based on a statistical model of the disparity distribution within a window.
Journal ArticleDOI
A cooperative algorithm for stereo matching and occlusion detection
C.L. Zitnick,Takeo Kanade +1 more
TL;DR: Presents a stereo algorithm for obtaining disparity maps with occlusion explicitly detected, and presents the processing results from synthetic and real image pairs, including ones with ground-truth values for quantitative comparison with other methods.
Real time correlation-based stereo: algorithm, implementations and applications
Olivier Faugeras,Bernard Hotz,Hervé Mathieu,Thierry Viéville,Zhengyou Zhang,Pascal Fua,Eric Théron,Laurent Moll,Gérard Berry,Jean Vuillemin,P. Bertin,Catherine Proy +11 more
TL;DR: The algorithm that has been described is not the most sophisticated available but it has made it robust and reliable thanks to a number of improvements and has shown that real time stereo is possible today at low-cost and can be applied in real applications.
Dissertation
Finding People in Images and Videos
TL;DR: This thesis introduces grids of locally normalised Histograms of Oriented Gradients (HOG) as descriptors for object detection in static images and proposes descriptors based on oriented histograms of differential optical flow to detect moving humans in videos.
References
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Journal ArticleDOI
Nested Dissection of a Regular Finite Element Mesh
TL;DR: This paper presents an unusual numbering of the mesh (unknowns) and shows that if the authors avoid operating on zeros, the $LDL^T $ factorization of A can be computed using the same standard algorithm in $O(n^3 )$ arithmetic operations.
Journal ArticleDOI
Disparity Analysis of Images
TL;DR: An algorithm for matching images of real world scenes is presented, which quickly converges to good estimates of disparity, which reflect the spatial organization of the scene.
Journal ArticleDOI
Velocity determination in scenes containing several moving objects
TL;DR: A relationship between the time variation of intensity, the spatial gradient, and velocity has been developed which allows the determination of motion using clustering techniques, and the clustering technique is described.
BookDOI
Image sequence analysis
Thomas S. Huang,Jake K. Aggarwal +1 more
TL;DR: This chapter focuses on three-Dimensional Motion Estimation, which involves estimating the Translation for Video Images of Moving Objects and Modeling Temporal Variations of Image Functions Caused by Moving Objects.