Auto-calibration of a camera system using Image Alignment

Calibration of a camera system is a necessary step in any stereo metric process. It correlates all cameras to a common coordinate system by measuring the intrinsic and extrinsic parameters of each camera. Currently, manual calibration of a camera system is the only way to achieve calibration in civil engineering operations that require stereo metric processes (photogrammetry, videogrammetry, vision based asset tracking, etc). This type of calibration however is time-consuming and labor-intensive. Furthermore, in civil engineering operations, camera systems are exposed to open, busy sites. In these conditions, the position of presumably stationary cameras can easily be changed due to external factors such as wind, vibrations or due to an unintentional push/touch from personnel on site. In such cases manual calibration must be repeated. In order to address this issue, several self-calibration algorithms have been proposed. These algorithms use Projective Geometry, Absolute Conic and Kruppa Equations and variations of these to produce processes that achieve calibration. However, most of these methods do not consider all constraints of a camera system such as camera intrinsic constraints, scene constraints, camera motion or varying camera intrinsic properties. This paper presents a novel method that takes all constraints into consideration to auto-calibrate cameras using an image alignment algorithm originally meant for vision based tracking. In this method, image frames are taken from cameras. These frames are used to calculate the fundamental matrix that gives epipolar constraints. Intrinsic and extrinsic properties of cameras are acquired from this calculation. Test results are presented in this paper with recommendations for further improvement.

黄颡鱼河鲈源吸虫和黄颡前驼形线虫的季节动态和频率分布

2001年2月到2002年7月,对湖北省梁子湖黄颡鱼的胃部寄生蠕虫进行了调查,共发现4种寄生蠕虫,即:黄颡前驼形线虫(Procamallanus fulvidraconis)、杜父鱼驼形线虫(Camallanus cotti)、黄颡刺盖线虫(Spinitectus gigi)和河鲈源吸虫(Genarchopsis goppo),本文主要报道了黄颡前驼形线虫的频率分布,以及河鲈源吸虫的季节动态和频率分布。黄颡前驼形线虫的感染率为96.70%,平均丰度为21.59±23.37,方均比为25.29,与负二项分布

Properties of trench defects in InGaN/GaN quantum well structures

The structural and optical properties of trench defects, which are poorly understood yet commonly occurring defects observed on the surfaces of InGaN multiple quantum wells (MQW), are reported. These defects comprise near-circular trenches which enclose areas of MQW which give rise to a red shift in peak photoluminescence emission and a change in cathodoluminescence intensity with respect to the surrounding material. Atomic force microscopy shows that the height of trench-enclosed areas differs from that of the surrounding quantum well structure, and that trenches are unrelated to the commonly observed V-defects in InGaN films, despite being occasionally intersected by them. Cross-sectional electron microscopy analysis of trenches with raised centres suggests that the red shift in the observed cathodoluminescence peak emission may be due to the quantum wells being thicker in the trench-enclosed regions than in the surrounding quantum well area. The mechanism of trench formation and its implication for the control of the emission properties of light-emitting diodes is discussed. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

黄土高原不同植被类型与降水因子对土壤侵蚀的影响研究

根据辛店沟 195 5年到 195 9年坡面径流小区的观测资料 ,分析了不同植被 (高粱豇豆、苜蓿、草木樨 )被覆度与降水 (包括雨量 (P)、雨强 (I)以及 PI乘积 (PI30 ) )与侵蚀速率的关系。结果表明土壤侵蚀速率随雨量 ,雨强及PI乘积的增加呈幂函数增加 ,但随被覆度的增加呈下降趋势。在 PI30 相同时 ,不同植被对土壤侵蚀速率的影响也不同。应用 U SL E(The U niversal Soil L oess Equation)分别模拟了三种不同植被被覆度与降水因子对土壤侵蚀的关系方

武汉东湖水生植被现状调查及群落演替分析

对东湖水生植物的调查结果表明 ,东湖现存水生维管束植物共计 2 0科 2 5属 33种 ,其生物量约为 1,137t,分布面积仅占东湖总面积的 0 .7% ,其中挺水植物分布面积占总面积的 98%。与 195 7年、196 2～ 196 3年和 1988～ 1994年相比 ,东湖水生植物的种类、分布面积和生物量进一步减少。认为造成东湖水生植被衰退的主要原因包括富营养化作用加剧、过度放养草食性鱼类和人类活动的影响。