Rotating type miniature camera phone multi-focal-length optical system

Abstract

Accurate calibration of camera intrinsic parameters is crucial to various computer vision-based applications in the fields of intelligent systems, autonomous vehicles, etc. However, existing calibration schemes are incompetent for finding general trend of the variation of camera parameters due to common physical changes. In this paper, it is demonstrated that major and minor variations due to changes in focal length and camera pose, respectively, can be identified with a recently proposed calibration method. It is readily observable from the experimental results that the former variations have different trends (directions) of principal point deviation for different types of camera, possibly due to different internal lens configurations, while the latter have very similar trends in the deviation which is most likely due to direction of gravity. Finally, to confirm the validity of such unprecedented findings, 3D to 2D reprojection errors are compared for different methods of camera calibration.

Wide-angle camera with multichannel architecture using microlenses on a curved surface

“…Our imaging plane is a complementary metal oxide semiconductor (CMOS) sensor, which is sensitive to infrared light [12]. To reduce infrared light noise, we need to add an infrared cutting filter of 0.2 mm in BK7, which is inserted 0.11 mm in front of the CMOS sensor.…”