Specular reflection removal with high-speed camera for video imaging
Shuhei Iwata, Kunihiro Ogata, Sho Sakaino, Toshiaki Tsuji · 2015
Computer vision plays an important role in various applications. However, the accuracy of computer vision is often degraded by specular reflection. To solve this problem, a system utilizing a high-speed camera and a strobe for removing specular reflection has been shown to be effective. This method utilizes a principle of estimation using images with luminances varied by the flickering of a strobe. However, the method generates noise due to the difference in position of specular reflection among images in video imaging. In this paper, the authors propose a method combining optical flow with the above-mentioned method. The proposed method enables the removal of specular reflection for video imaging without generating noise. Experimental results and comparison with other methods of specular reflection removal show the effectiveness of the proposed method.