考研英文原刊經(jīng)濟(jì)學(xué)人識(shí)別人們的行蹤(編輯修改稿)
2025-02-02 22:21 本頁面
【文章內(nèi)容簡(jiǎn)介】 值得信賴！ 以學(xué)員的前途為已任，為學(xué)員提供高效、專業(yè)的服務(wù)，團(tuán)隊(duì)合作 ,為學(xué)員服務(wù)，為學(xué)員引路。 asanchors for the modelling. These can be as few as half a dozen (the pupils of the eyes, thecorners of the mouth, and so on), or as many, in one system, as 40,000. EBGM 將頭部視為兩個(gè)橢圓的結(jié)合體。一個(gè)的主軸是垂直的，從前額到下巴 。另一個(gè)的主軸是水平的，從鼻尖到頭蓋骨 后側(cè)?；痉桨甘峭ㄟ^確定基點(diǎn)位置，定位模型尺寸?；c(diǎn)少則 6 個(gè) (瞳孔，嘴角，等等 )，多則可能在一個(gè)系統(tǒng)中達(dá)到 40000 個(gè)。 EBGM allows the construction of a threedimensional representation of a face from poorly litimages taken at odd angles, such as a closedcircuit television camera might provide. Once itrecognises enough fiducial points it can work out what aspect of a face it is viewing. It thenextrapolates the expected positions of other fiducial points. As more data e in from thecamera, the model39。s shape is updated. Given enough horsepower, says a British official, such asystem can build a model from as few as 80 pixels located between a subject39。s eyes—and onlytwo images are needed for a 3D reconstruction. EBGM 可以將小角度拍攝的暗光照片，比如閉路電視所提供的，塑造為三維模型。一旦它捕捉到了足夠的基點(diǎn)，系統(tǒng)就能計(jì)算出它所觀測(cè)的是面部的那個(gè)位置。然后系統(tǒng)推斷出其他基點(diǎn)的預(yù)期位置。隨著攝像頭提供的數(shù)據(jù)增多，模型的形狀不斷更新。如果有足夠動(dòng)力，比如英國(guó)官方要求，只需要兩張照片，像素少到在人物的眼睛中只有 80 個(gè)像素，這個(gè)系統(tǒng)就能偶建立出 3D 復(fù)原模型。 Governments are not the only ones interested. Earlier this year, Facebook39。s DeepFace systemwas asked whether thousands of pairs of photos were of the same p
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