Realistic Range Rendering
Abstract
In many model-based object recognition systems, a synthesize-and-verify technique is used to evaluate the quality of hypotheses. This technique synthesises images of hypothesized objects in hypothesized poses, and compares them against the input imagery, producing a matching score. In this paper, we examine the image synthesis process in the context of triangulation-based range finding. We motivate the use of synthetically shadowed range data, for verification, present a simple and efficient algorithm for generation of shadowed range imagery, and demonstrate its usefulness in a set of real imagery.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Flynn. "Realistic Range Rendering." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323911Markdown
[Flynn. "Realistic Range Rendering." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/flynn1994cvpr-realistic/) doi:10.1109/CVPR.1994.323911BibTeX
@inproceedings{flynn1994cvpr-realistic,
title = {{Realistic Range Rendering}},
author = {Flynn, Patrick J.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1994},
pages = {848-851},
doi = {10.1109/CVPR.1994.323911},
url = {https://mlanthology.org/cvpr/1994/flynn1994cvpr-realistic/}
}