Thesis (doctoral)--Université de Paris. / Includes bibliographical references (p. vii-xv).

Thesis (M.S.)--Montana State University--Bozeman, 2006. / Typescript. Chairperson, Graduate Committee: Theodore W. Weaver. Includes bibliographical references

Thesis (Ph.D.)--University of Missouri-Columbia, 2005. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (November 15, 2006) Vita. Includes bibliographical references.

Texte remanié de: Thèse 3e cycle--Anthropologie--Paris--E.H.E.S.S., 1979.

Texte remanié de: Th. de doctorat--Littérature--Anvers--Universiteit Instelling Antwerpen. / Bibliogr. p. 403-410.

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The modification of the band edge or emission energy of semiconductor quantum well light emitters due to image charge induced phenomenon is an emerging field of study. This effect observed in quantum well light emitters is critical for all metal-optics based light emitters including plasmonics, or nanometallic electrode based light emitters. This dissertation presents, for the first time, a systematic study of the image charge effect on semiconductor–metal systems. the necessity of introducing the image charge interactions is demonstrated by experiments and mathematical methods for semiconductor-metal image charge interactions are introduced and developed.

Three-dimensional (3D) imagery has gained a lot of importance in today's world, be it in the field of entertainment, documentation, or defense. Multiple methods for creating 3D images have been proposed in the past. A few famous methods used for 3D image matching are those that include usage of 2D images as stereo pairs or computing 3D rigid body transformations based on range information of points. The Iterative Closest Point algorithm (ICP) and its variants are well known for registration of point clouds, which can be used to create 3D surfaces. This thesis provides an algorithm, which is a continuation of the work done previously at Utah State University, to create accurate 3D images based on "texel" images obtained from the handheld texel camera built at USU. The first part of the thesis briefly reviews the structure and working of the handheld texel camera and the technique of creating texel images using the device and calibrating the images to mitigate the effect of lens distortions. A method is then suggested to reduce the errors in the range information in the image caused by walk error and wiggling error and also to compensate for the timing error induced in the individual pixels of the lidar sensor. A way to add a correcting factor to the range information to compensate for any oset in the origin assumed by the sensor and the actual center of perspective (COP) of the sensor is suggested in the later part of the thesis, thus correcting the images for the inaccuracies caused by the oset. The second half of the thesis brie y goes over the work previously done on 3D image matching and registration to produce 3D images. A few changes are suggested in some parts of the existing method, which use concepts of epipolar geometry in the RANSAC algorithm and use planar interpolation to accurately obtain the 3D co-ordinates of points from 2D coordinates. An iterative solution is proposed to correct erroneously chosen correspondences or reject bad correspondences to improve the rigid body transformation. The transformation thus obtained is used to compute more point matches, which are in turn used to estimate a more accurate least squares solution for the rigid body transformation. Results show that the calibration techniques and the changes implemented in the point cloud matching algorithm, suggested in this thesis, improve the accuracy of the images and produce 3D images with correct matching.

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