human skin color 中文意思是什麼
human skin color
解釋
皮膚色彩-
Firstly, human skin - color information is used to segment images into skin color region and non - skin color region, then pretreat the skin - color region and come into the phase of image similarity
首先利用彩色圖像的顏色信息把彩色圖像分割成膚色區域與非膚色區域,然後對膚色區域做預處理后,進入圖像似然度檢測階段。 -
A systematic summary of previous work has been given first. then this paper presents a novel multi - stage face detection algorithm, which makes a good use of human face pattern ' s valuable information in colour image sequences. the difficult detection task has been divided into four steps : the preprocessing, which is to gain skin colored regions with human skin color model ; the roughly detection and face region refining by elliptic curve fitting ; the fine detection with facial features " detection and location ; the face / non - face classification step based on pca and gaussian density estimation technique
本文對彩色序列圖像中的人臉檢測和跟蹤技術進行了深入的研究,其具體內容為:對近年來的研究工作進行了系統的介紹;提出了一個由粗到細的多階段的人臉檢測演算法,該演算法充分利用了序列圖像中人臉模式的各種有用信息,將復雜的檢測工作分為了四個部分:膚色區域分割預處理,人臉粗檢及利用橢圓擬和的人臉區域提煉,應用人臉基本特徵檢測和定位的人臉細檢, pca結合高斯概率密度估計的人臉驗證。 -
In this paper we studied and compared general face detecting algorithms. in allusion to the characteristics that image of video sequences has low resolution ratio and large quantity of color information ; we propose a face detecting method based on skin color and local human face structural feature
本文對在靜態圖像和視頻圖像序列中常用的人臉檢測演算法進行了研究和比較,針對數字視頻中圖像解析度較低,包含大量色彩信息的特點我們提出了一種基於膚色和人臉局部特徵的檢測方法。 -
Recent epidemiological and physiological evidence suggests to us that the worldwide pattern of human skin color is the product of natural selection acting to regulate the effects of the sun ' s ultraviolet ( uv ) radiation on key nutrients crucial to reproductive success
最新的流行病學與生理學證據,令我們想到:人類膚色的全球分佈模式是天擇的產物,因為陽光中的紫外線輻射會影響某些營養素,而那些營養素是生殖成就的關鍵。 -
Variational image sampling was employed for focus windows selection, and the harmony between resolution and field of view was implemented. a human face extracting method based on color, shape and detail features was proposed, in order to overcome restriction of method based on skin detection. a method using optical flow was introduced to segmenting moving human face in focus images, and has better perspective in surveillance situation
我們從多方面進行探討,提出用統計手段分析成像主體最可能被放置的區域,有效地減少了成像主體不在中心時引起的誤對焦;提出用解析度空間變化的手段對圖像進行非均勻采樣,達到解析度與視場的協調;提出通過顏色、形狀和細節三方面進行人臉探測,有效地克服了單純靠皮膚進行探測的局限:提出基於光流場的方法分割圖像中的人臉,適用於監控場合。 -
Interestingly, however, human skin color in southern africa is not uniform
不過,有趣的是,南非各族群的膚色並不一致。 -
But a series of discoveries has led us to construct a new framework for understanding the evolutionary basis of variations in human skin color
但是,一連串的發現引導我們建構了一個新的認知架構,來了解人類膚色變異的演化基礎。 -
Human skin color has been proven to be an effective feature and widely used in face detection in resent years. however, color is not a physical phenomenon. it is a perceptual phenomenon that is related to the spectral characteristics of electromagnetic radiation in the visible wavelengths striking the retina
膚色是一種簡單有效的特徵,在人臉檢測中得到廣泛的關注和應用,但傳統的基於統計的膚色檢測方法不能克服光照、攝像機、膚色差異等因素的影響。 -
In the first part of this paper, the principle of human face location is introduced : because human skin color clusters in the color space, we select a appropriate space to construct the skin color model, then skin color area of face is separated. finally, we use the construction feature of face to locate the face
本文首先詳細介紹了人臉定位的原理:根據人的膚色在色度空間的聚類特性,選擇合適的色彩空間建立膚色模型,利用相似度將人臉區域分割出來,再結合人臉的結構特點進行人臉定位。 -
Shin color is one of most important human face characteristic, the gaussian model skin color segmentation under ycbcr chrominance space method is choose by the thesis
膚色是人臉重要特徵,在通過膚色采樣統計和聚類分析后,確立一種在ycbcr空間下的基於高斯模型的膚色分割方法。 -
In color images, the skin - color is important information of human faces. so the skin - color - liked area can be divided from the context by the skin - color - model in his color space
彩色圖像中,膚色特徵是人臉的重要信息,利用his彩色空間中的膚色模板,可以將類膚色區域同背景分割開來。 -
This thesis is focus on arbitrary background image which maybe contain human face, and build a research system combines the skin color segmentation, face template matching and filter candidate region by facial characteristic, some experiment have done based on the system and get a serials statistic data
本文針對復雜背景下的彩色正面人臉圖像,將膚色分割、模板匹配與候選人臉圖像塊篩選結合起來,構建了人臉檢測實驗系統,並用自製的人臉圖像數據庫在該系統下進行了一系列的實驗統計。 -
To realize this novel method, a simple color space converting is performed to distinct skin pixels from non - skin ones, which utilizes the characteristics of human skin co lor distribution. after that, morphological operations are used
根據人類皮膚顏色分佈的特徵,對彩色圖像進行簡單的顏色空間轉換后再使用簡單的形態學操作,這一方法即可實現。
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