Guest Editors' Introduction to the Special Section on Computational Photography

Ayan Chakrabarti, Kalyan Sunkavalli, D. Forsyth
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引用次数: 1

Abstract

The nine papers in this special section focus on computational photography. The development of increasingly successful visual inference algorithms has driven progress in a number of different application domains—ranging from photography to autonomous vehicles to graphics and virtual reality systems. As we continue to extend the capabilities of these computational algorithms, a complementary research direction lies in asking what the right visual measurements are for these algorithms to operate on. In computational photography, we seek to investigate both components—computational and sensory—of intelligent visual systems in synergy, to build measurement schemes and inference algorithms that are jointly optimal for a desired task, and thus create functionalities that go beyond what is possible with traditional cameras and computational tools. The call for papers for this section was co-ordinated with the 2020 IEEE International Conference on Computational Photography (ICCP) that was held from April 24-26, 2020.
客座编辑对计算摄影特别部分的介绍
本专题的九篇论文聚焦于计算摄影。越来越成功的视觉推理算法的发展推动了许多不同应用领域的进步,从摄影到自动驾驶汽车,再到图形和虚拟现实系统。随着我们继续扩展这些计算算法的能力,一个互补的研究方向在于询问这些算法操作的正确视觉测量是什么。在计算摄影中,我们寻求在协同作用下研究智能视觉系统的计算和感官两个组成部分,以构建对所需任务共同优化的测量方案和推理算法,从而创建超越传统相机和计算工具可能实现的功能。本部分的论文征稿与2020年4月24日至26日举行的2020年IEEE计算摄影国际会议(ICCP)协调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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