Abstract
This paper presents the results of several studies concerning the effect of temperature on digital cameras. Experiments were performed using three different camera models. The presented results conclusively demonstrate that the typical camera design does not adequately take into account the effect of temperature variation on the device’s performance. In this regard, a modified camera design is proposed that exhibits a highly predictable behavior under varying ambient temperature and facilitates thermal compensation. A novel temperature compensation method is also proposed. This compensation model can be applied in almost every existing camera application, as it is compatible with every camera calibration model. A two-dimensional (2D) and three-dimensional (3D) application of the proposed compensation model is also described. The results of the application of the proposed compensation approach are presented herein.
Highlights
Digital cameras have a wide range of applications, including field detectors in three-dimensional (3D) imaging
We will focus on the application of cameras as 3D-structured light scanners [1]; but the proposed compensation method can be applied to many other imaging applications
These studies are the continuation of research introduced in Ref. [9], where we described the effect of temperature on the calibration accuracy of a 3D-structured light scanner and proposed a method for its compensation
Summary
Digital cameras have a wide range of applications, including field detectors in three-dimensional (3D) imaging. [12] described the results of several studies on the effect of temperature on single lens reflex (SLR) camera They focused on the temperature impact on the camera calibration parameters, especially the principal point position and the focal length. He has proposed a mathematical model that can extend the camera calibration to include temperature compensation His method for compensation assumes that the camera-lens system can be treated as a rigid body and that the lens is not affected by the temperature change. They used a pin hole camera model and the calibration method proposed by Zhang [22] They assumed that changing temperature does not affect the intrinsic camera parameters and that only translation of the camera needs to be taken into account when considering the effect of temperature. These studies are the continuation of research introduced in Ref. [9], where we described the effect of temperature on the calibration accuracy of a 3D-structured light scanner and proposed a method for its compensation
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