Assessing the Influence of Temperature Changes on the Geometric Stability of Smartphone and Raspberry Pi Cameras Knowledge about the interior and exterior camera orientation parameters is required to establish the relationship between 2D image content and 3D object data. Camera calibration is used to determine the interior orientation parameters, which are valid as long as the camera remains stable. However, information about the temporal stability of lowcost cameras due to the physical impact of temperature changes, such as those in smartphones, is still missing. This study investigates on the one hand the influence of heat dissipating smartphone components at the geometric integrity of implemented cameras and on the other hand the impact of ambient temperature changes at the geometry of uncoupled lowcost cameras considering a Raspberry Pi camera module that is exposed to controlled thermal radiation changes. If these impacts are neglected, transferring image measurements into object space will lead to wrong measurements due to high correlations between temperature and cameraxe2x80x99s geometric stability. MonteCarlo simulation is used to simulate temperaturerelated variations of the interior orientation parameters to assess the extent of potential errors in the 3D data ranging from a few millimetres up to five centimetres on a target in X and Y direction. The target is positioned at a distance of 10 m to the camera and the Zaxis is aligned with cameraxe2x80x99s depth direction.

Automatic Distortion Rectification of WideAngle Images Using Outlier Refinement for Streamlining Vision Tasks The study proposes an outlier refinement methodology for automatic distortion rectification of wideangle and fisheye lens camera models in the context of streamlining visionbased tasks. The linemembers sets are estimated in a scene through accumulation of line candidates emerging from the same edge source. An iterative optimization with an outlier refinement scheme was applied to the loss value, to simultaneously remove the extremely curved outliers from the linemembers set and update the robust line members as well as estimating the bestfit distortion parameters with lowest possible loss. The proposed algorithm was able to rectify the distortions of wideangle and fisheye cameras even in extreme conditions such as heavy illumination changes and severe lens distortions. Experiments were conducted using various evaluation metrics both at the pixellevel (image quality, edge stretching effects, pixelpoint error) as well as higherlevel usecases (object detection, height estimation) with respect to real and synthetic data from publicly available, privately acquired sources. The performance evaluations of the proposed algorithm have been investigated using an ablation study on various datasets in correspondence to the significance analysis of the refinement scheme and loss function. Several quantitative and qualitative comparisons were carried out on the proposed approach against various selfcalibration approaches.