published_or_final_version / Urban Design / Master / Master of Urban Design

There are many existing methods for capturing three dimensional data from two dimensional images. Methods based on images captured from multiple view-points require solving the correspondence problem: establishing which points in each image represent the same points in the scene. Most attempts at solving the correspondence problem require carefully controlled lighting and reference points within the scene. A new method captures many consecutive images to form a dense spatiotemporal volume as the camera-or scene-undergoes controlled motion. Feature points in the scene move along predictable paths within this volume. Analysing the exact motion of features determines their three dimensional position in the scene.

Thesis (M. Soc. Sc.)--University of Hong Kong, 1987.

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1990. / Vita. Abstract. Includes bibliographical references (leaves 84-89). Also available via the Internet.

Thesis (M.U.D.)--University of Hong Kong, 2009. / Includes bibliographical references (p. 83).

Thesis (M.Sc.)--York University, 2007. Graduate Programme in Computer Science and Engineering. / Typescript. Includes bibliographical references (leaves 137-141). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR38839

Thesis (M.Soc.Sc.)--University of Hong Kong, 1987. / Also available in print.

A model of local elevator basis levels was developed to quantify the response of corn, soybean and hard red spring wheat basis to a set of predefined predictors. Basis data from 2013 – 2016 for 12 grain elevators in Eastern North Dakota were collected. A maximum likelihood mixed effect model was used to test the significance of alternative predictor variables and further divided the residuals into temporal and spatial components. The results indicate that the base model was able to explain 57 to 87 percent of the local basis variability for the selected crops at the individual elevators. In addition, the findings suggest that the temporal portion of the remaining variability is greater than the spatial variability for corn and soybean, but similar for hard red spring wheat. / North Dakota State University. Department of Agribusiness and Applied Economics

Thesis (Ph.D.)--University of Melbourne, Dept. of Geomatics, 2004. / Typescript (photocopy). Includes bibliographical references (leaves 177-194).

With the continued proliferation of location-based services, a growing number of web-accessible data objects are geo-tagged and have text descriptions. Spatial keyword top-k queries retrieve k such objects with the best score according to a ranking function that takes into account a query location and query keywords. However, it is in some cases difficult for users to specify appropriate query parameters. After a user issues an initial query and gets back the result, the user may find that some expected objects are missing and may wonder why. Answering the resulting why-not questions can aid users in retrieving better results and thus improve the overall utility of the query functionality. While spatial keyword querying has been studied intensively, no proposals exist for how to offer users explanations of why such expected objects are missing from results. In this dissertation, we take the first step to study the why-not questions on spatial keyword top-k queries. We provide techniques that allow different revisions of spatial keyword queries such that their results include one or more desired, but missing objects. Detailed problem analysis and extensive experimental studies consistently demonstrate the effectiveness and robustness of our proposed techniques in a broad range of settings.