Illustrate these analyses with two - dimensional surface plots / error surfaces 用二維表圖結(jié)構(gòu)/誤差表闡明這些分析。
2 . measures quantificationally the three - dimensional shape and two - dimensional surface reflectance contributions to face images recognition 2 .分析了三維形狀和二維紋理對人臉識別的影響。
In three - dimensional space , the boundary is a two - dimensional surface ? that is , an area , the size of which increases as the square of the distance 在三維空間中,邊界是一個二維的面,也就是一塊面積,其大小會隨著距離的平方而增加。
These ideas , published in a research paper in 1998 , built on the discovery that certain mathematical quantities known as knot invariants were associated with the quantum physics of a two - dimensional surface evolving in time 傅利曼的想法奠基于一項數(shù)學(xué)發(fā)現(xiàn):某些屬于結(jié)不變量的數(shù)學(xué)量,和二維曲面隨著時間而演變的量子物理有關(guān)。
Based on the bjpu - 3d large - scale chinese face database and the correspondence between these faces by though mesh resampling , we have altered the three - dimensional shape and two - dimensional surface reflectance of the original 3d faces by making use of the average face , then we have implemented a series of experiments to measure the contributions of three - dimensional shape and two - dimensional surface reflectance to face image recognition under this change pattern . from the experiment results based on the eigenface algorithm , we concludes that the two types of information are both important for face recognition but the 3d shape is much more important than the 2d surface reflectance , this conclusion gives good suggestions and clues to the design of face recognition algorithms in future 在本實驗室建立的大規(guī)模中國人的三維人臉庫和基于重采樣三維人臉對齊算法的基礎(chǔ)上,本文設(shè)計合理的實驗,采用平均三維人臉來改變原始三維人臉的形狀和紋理信息,系統(tǒng)地分析了在這種變換模式下的人臉三維形狀和二維紋理對人臉圖像識別的影響,在eigenface算法上的試驗結(jié)果表明,形狀和紋理信息對人臉識別都有很大影響,并且形狀信息的影響遠(yuǎn)遠(yuǎn)大于紋理信息的影響。