Shows how to , using fixed point math , make moving directional and point lights 演示如何使用定點(diǎn)算法制作移動(dòng)的定向光源和點(diǎn)光源。
The proposed algorithm transformation procedure from the float - point to fixed - point is discussed in chapter2 描述了浮點(diǎn)算法到定點(diǎn)算法的移植過(guò)程。
The second subclause contains information about algorithmic changes which were made especially for fixed point implementation of recommen - dation g . 728 第2小結(jié)包含專用于實(shí)施建議g . 728的定點(diǎn)算法變化的介紹。
The existing fixed - point implementation of g . 729a is generally written on all - purpose computer , and is no considered real - time quality problems 現(xiàn)有的g . 729a定點(diǎn)算法大都是針對(duì)通用計(jì)算機(jī)編寫的,沒(méi)有考慮算法的實(shí)時(shí)性問(wèn)題。
2 . the fast fixed - point algorithm has been studied . we firstly consider one unit algorithm , extracting one original signal every time under instantaneous mixtures model 先分析了一次分離出一個(gè)源信號(hào)的單源定點(diǎn)算法,然后導(dǎo)出了分離多個(gè)源信號(hào)的算法。
Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years . it has a lot of applications in virtual reality , smart surveillance system , advanced user interface , motion analysis and video compressing , etc . this paper focuses on the technology of human motion tracking based on video , first , we make a summarization of the domestic and overseas status of the research in this field . on the basis of this , we analyse the technical difficulties of human motion tracking . as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention , and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs , this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences , in which we analyse the features of walking people , track the five joints of lower limbs , get various parameters , and then re - construct the walking process . the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton . first we divide the video into continuous image sequences , after background subtraction , the satisfying human region could be extracted , then we get a single - connected region by converting the rgb image to binary image and median filtering . afterwards , the contour of lower limbs in the frame with a widest boundingbox is detected , using sobel operator , to find the ankle joint of leg behind according to the features and rules of walking , then , the joint of knee of leg behind , hip , ankle of leg in front , knee of leg in front could be got in turn . so , model of leg skeleton is constructed 首先將視頻分解成許多連續(xù)的靜態(tài)圖像幀,經(jīng)過(guò)背景去除,把感興趣的人體區(qū)域提取出來(lái),通過(guò)二值化,中值濾波等預(yù)處理方法得到只有人體的一個(gè)單連通區(qū)域,然后用sobel算子檢測(cè)出boundingbox最寬幀中人體下半身的輪廓,根據(jù)運(yùn)動(dòng)規(guī)律及特征找到后腿踝關(guān)節(jié)點(diǎn),結(jié)合從boundingbox最窄幀中所獲取的腿長(zhǎng)依次得到后腿膝關(guān)節(jié),跨部關(guān)節(jié),前腿踝關(guān)節(jié),前腿膝關(guān)節(jié)四點(diǎn),從而構(gòu)建出腿部骨架模型。 2 )實(shí)現(xiàn)了人體步行腿部骨架的跟蹤算法。在完成對(duì)腿部骨架模型的自動(dòng)初始化之后,本文對(duì)跨關(guān)節(jié)、膝關(guān)節(jié)及踝關(guān)節(jié)分別采用運(yùn)動(dòng)建模、圓周相交定點(diǎn)算法、運(yùn)動(dòng)預(yù)測(cè)及預(yù)測(cè)點(diǎn)周圍搜索rgb相似矩形塊三種方法確定每一幀中其實(shí)際坐標(biāo),從而重構(gòu)出腿部骨架的運(yùn)動(dòng)過(guò)程。