The Optimizated CIELAB Colour Model for All-Analog Photoelectronic High Speed Vision-Task Chip (ACCEL) by Creative Computing Approach

Yinwei Liu, Yuchen Jiang; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024, pp. 708-715

The finding of this study created a design plan for improving the traditional Bayesian optimization algorithm logic by inserting Hidden Markov Chain and human preference, to avoid Bayesian algorithm self-trap in local. Additionally, this paper created a novelty model as the example case to help explaining the new logic. This paper stands on the creative computing approach to enrich the classical pure measurements (CIELAB colour standard) with visual intensity parameters. The new optical intensity colour model services the chip carrier, which is a high-speed vision-task photons chip design published in Nature at 25 Oct 2023[1]. The result model structure is expected to apply for the photons-based computer chip in the perspective of vision intensity optimization, such as future optically based virtual reality human-computer interaction applications.