论文标题
颞色恒定的基准
A Benchmark for Temporal Color Constancy
论文作者
论文摘要
时间色恒定（CC）是最近提出的方法，它挑战了常规的单帧颜色恒定性。传统的方法是使用单个框架 - 射击框架 - 估计场景照明颜色。在时间CC中，使用视图查找器序列的多个帧用于估计颜色。但是，没有逼真的大规模时间颜色恒定数据集用于方法评估。在这项工作中，引入了新的时间CC基准。该基准包括（1）600个现实世界中的序列，该序列使用高分辨率的手机摄像头记录，（2）固定的火车测试拆分，可确保一致的评估，以及（3）基线方法，在新基准标准中可实现高精度，并且在以前的工作中使用了数据集。我们的实验报告了20多种众所周知的颜色恒定方法的结果。
Temporal Color Constancy (CC) is a recently proposed approach that challenges the conventional single-frame color constancy. The conventional approach is to use a single frame - shot frame - to estimate the scene illumination color. In temporal CC, multiple frames from the view finder sequence are used to estimate the color. However, there are no realistic large scale temporal color constancy datasets for method evaluation. In this work, a new temporal CC benchmark is introduced. The benchmark comprises of (1) 600 real-world sequences recorded with a high-resolution mobile phone camera, (2) a fixed train-test split which ensures consistent evaluation, and (3) a baseline method which achieves high accuracy in the new benchmark and the dataset used in previous works. Results for more than 20 well-known color constancy methods including the recent state-of-the-arts are reported in our experiments.
