The recent debate in the RoboCup middle-size community about natural light conditions shows that a more in-depth analysis of the problems incurred by this is necessary in order to draft out a focused and realistic roadmap for research. Based on real-world images taken under varying lighting conditions, we performed descriptive and statistical analysis of the effects on color-based vision routin...

This study was undertaken to develop machine vision-based weed detection technology for outdoor natural lighting conditions. Supervised color image segmentation using a binary-coded genetic algorithm (GA) identifying a region in Hue-Saturation-Intensity (HSI) color space (GAHSI) for outdoor field weed sensing was successfully implemented. Images from two extreme intensity lighting conditions, t...

The problem of edge-based classification of natural video sequences containing buildings and captured under changing lighting conditions is addressed. The introduced approach is derived from two empiric observations: In static regions the likelihood of finding features that match the patterns of “buildings” is high because buildings are rigid static objects, and misclassification can be reduced...

1170 May 2015 F or many thousands of years, the sun was our only source of light, and human behavior followed a natural day–night cycle. This milieu began to change approximately 150 yr ago with the invention of incandescent lighting. Electric lighting disrupted our behavioral dependence on the day–night cycles of the sun and facilitated alterations in our circadian sleep–wake cycles. recent re...

This paper presents techniques and animations developed from 1991 to 2000 that use digital photographs of the real world to create 3D models, virtual camera moves, and realistic computer animations. In these projects, images are used to determine the structure, appearance, and lighting conditions of the scenes. Early work in recovering geometry (and generating novel views) from silhouettes and ...

The problem of edge-based classification of natural video sequences containing buildings and captured under changing lighting conditions is addressed. The introduced approach is derived from two empiric observations: In static regions the likelihood of finding features that match the patterns of “buildings” is high because buildings are rigid static objects, and misclassification can be reduced...

The problem of face recognition in a natural or artificial environment has received a great deal of researchers’ attention over the last few years. A lot of methods for accurate face recognition have been proposed. Nevertheless, these methods often fail to accurately recognize the person in difficult scenarios, e.g. low resolution, low contrast, pose variations, etc. We therefore propose an app...

The modal characterization of automotive lighting systems becomes difficult using sensors due to the light weight of the elements which compose the component as well as the intricate access to allocate them. In experimental modal analysis, high speed 3D digital image correlation (HS 3D-DIC) is attracting the attention since it provides full-field contactless measurements of 3D displacements as ...

This paper studies the relationship between ambient light and criminal activity. I develop a Becker-style crime model that shows sudden increase in produces larger reduction areas with less public lighting. Daylight savings time (DST), natural experiment used, induces sharp during crime-intense hours. Using geolocated data on lighting for city of Montevideo Uruguay, regression discontinuity est...