Bit-Level Concurrency in Real-Time Geometric Feature Extractions
Abstract
An efficient mapping from a tree structure into a pipelined array of 2log N states is presented for processing an N*N image. In the proposed mapping structure the identification of the information growing property inherent in feature-extraction algorithms allows bit-level concurrency to be exploited in the architectural design. Accordingly, the design of each staged pipelined processor is simplified.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Liu et al. "Bit-Level Concurrency in Real-Time Geometric Feature Extractions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196348Markdown
[Liu et al. "Bit-Level Concurrency in Real-Time Geometric Feature Extractions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/liu1988cvpr-bit/) doi:10.1109/CVPR.1988.196348BibTeX
@inproceedings{liu1988cvpr-bit,
title = {{Bit-Level Concurrency in Real-Time Geometric Feature Extractions}},
author = {Liu, Wentai and Yeh, Tong-Fei and Batchelor, William E. and Iii, Ralph K. Cavin},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1988},
pages = {957-962},
doi = {10.1109/CVPR.1988.196348},
url = {https://mlanthology.org/cvpr/1988/liu1988cvpr-bit/}
}