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Acquiring an Environment Map through Image Mosaicking |
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@TechReport{Hu:01,
author = {Bo Hu and Christopher M. Brown and Andrew Choi},
title = {Acquiring an Environment Map through Image Mosaicking},
institution = {The University of Rochester},
year = {2001},
number = {786},
address = {Rochester NY},
month = {November},
abstract = { In this report, we describe methods of acquiring an environment map by image mosaicking. We focus on technique details of the different algorithms involved. These algorithms include image matching, homography estimation, linear image warping and linear self calibration. Many of these details are distributed in various publications and we here bring them together. Furthermore, these algorithms are widely used in other circumstances and we provide all the C++ code for each of the algorithms. }
}