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Camera Calibration from Silhouettes

Camera Calibration from Silhouettes


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About the Book

This dissertation, "Camera Calibration From Silhouettes" by Hui, Zhang, 張慧, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled "Camera Calibration from Silhouettes" Submitted by Hui Zhang for the degree of Doctor of Philosophy at The University of Hong Kong in August 2006 Silhouettes are often dominant image features, and they provide valuable in- formation about both camera properties and object motion. However, since silhouettes are viewpoint dependent, few direct correspondencescan beobtained between them. This makes camera calibration from silhouettes a challenging problem. Thisthesis develops new algorithms for camera calibration usingsilhouettes in an image sequence, with the objective of using the camera calibration to compute the motion and hence achieve a Euclidean reconstruction. The thesis first studies the problems of camera calibration using silhouettes of a sphere. It isshown thatthecommon poleandpolar with respectto theconic images oftwo spheresarealsothepoleandpolarwithrespecttotheimageoftheabsoluteconic (IAC). Thispole-polarrelationship providestwo linear constraints forestimating the IAC and hence allows a camera to be linearly calibrated from an image of three spheres. The thesis then studies the problem of self-calibration for a turntable se-quence. By exploiting the parametrization of the fundamental matrix, a fixed scalar which can be obtained from the epipoles in an image triplet is found to be a crucial element in both calibration and motion estimation. The imaged circular points can then be formulated in terms of all image invariants and the scalar and used to recover the camera intrinsics. The camera motion and a Eu- clidean reconstruction then follow. However, this method relies on an input of a dense image sequence for initializing the image invariants. A possible solution for a sparse sequence is to introduce more image features (points) into the sys- tem, and a novel method usingsilhouettes and an image point track is developed accordingly. 277 words ZHANG Hui September 15, 2006 DOI: 10.5353/th_b3774375 Subjects: Cameras - Calibration Image processing - Digital techniques Silhouettes


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Product Details
  • ISBN-13: 9781361434697
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • No of Pages: 136
  • Weight: 331 gr
  • ISBN-10: 1361434694
  • Publisher Date: 27 Jan 2017
  • Binding: Paperback
  • Language: English
  • Spine Width: 7 mm
  • Width: 216 mm


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