gaussian probability distribution 中文意思是什麼

gaussian probability distribution 解釋
高斯概率分佈
  • gaussian : adj. 高斯的。
  • probability : n 1 或有；或然性。2 【哲學】蓋然性〈在 certainly 和 doubt 或 posibility 之間〉。3 【數學】幾率，...
  • distribution : n 1 分配，分發，配給；分配裝置[系統]；配給品；配給量；【經濟學】配給方法，配給過程；分紅；【法律...
  1. There are three steps of the concrete process of the algorithm : initial localization, separating image and confirmation. firstly, single gaussian model is used to imitate skin - color distribution, meanwhile, skin probability images which is smoothly disposed using middle wave is calculated to attain the initial localization. secondly, in order to separate the latent face region, it uses multimodal information that includes the region growing 、 the hue and brightness 、 skin probability images etc. at last, it adopts the criterion of morphology analysis and face characteristic draw to confirm the latent region

    演算法的具體過程主要分為三個階段:人臉初定位、人臉分割和人臉確認，首先採用高斯模型來模擬膚色分佈並構造出膚色概率圖進行人臉的初定位，並對膚色概率圖採用中值濾波進行平滑處理，接著利用區域生長準則和融合色度、亮度以及膚色概率圖等多源信息相結合的方法對圖像進行分割，以達到分割出潛在臉區的目的，最後採用人臉整體形狀的確認準則和人臉特徵提取的確認準則相結合的方法對潛在臉區的最終確認。
  2. This paper presents a new face detection algorithm for color video images based on skin color and multimodal information fusion. first, this paper presents a new means for selecting skin samples ; and then comparing skin distribution in the eight color spaces and analyzing the adaptability for different skin patterns, poses a face initial orientation ' s method which uses the single gaussian model in the tsl color spaces, and calculates skin probability images ; afterwards comprehensive comparing three typical threshold value separating algorithms, put forwards a face separating method which bases on region growing and fuses multimodal informations ; final, raises a face confirming algorithm which fuses three shape features

    首先提出了?種新的膚色樣本選取方法；然後通過對八種色空間膚色分佈的比較以及不同膚色模型適應性的分析，提出了在tsl色空間上用單峰高斯模型模擬膚色分佈，求得膚色概率圖進行人臉初定位的方法；隨后在綜合比較三個典型閾值化分割演算法的基礎上，提出了融合多源信息進行區域生長分割人臉的演算法；最後提出了融合三個形狀特徵的人臉確認演算法。
  3. It is assumed that the particles experience several internal states in a single mechanical - chemical circle. in this model, the transition rates between different states are position - dependent which have the form of gaussian function. for any internal states, the probability distribution as a function of the time and position may be expanded near the transition points to any rank if necessary

    我們認為馬達在不同狀態之間的躍遷不再局限於某些固定的躍遷點，也不是在各個位置都是等幾率的，而是發生在某些點附近的一定寬度范圍內，用躍遷寬度這一特徵量表徵躍遷范圍的大小，能夠較好地說明分子馬達的動力學行為。
  4. Applying generalized gaussian distribution to statistical model of the alternating current coefficient of discrete cosine transform, an adaptive blind watermark detection algorithm is presented on the basis of sign detector and linear correlate detector and its probability efficiency is deduced

    摘要根據數字圖像離散餘弦變換域交流系數的廣義高斯分佈模型，在符號檢測器和線性相關檢測器的基礎上，提出一種盲水印自調節的檢測演算法，並推導出該檢測器有較高的檢測效率。
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