A Study of Recognition about Human Face

Abstract

This paper studied the simulation problems of facial aging with the computer visual processing software. According to comparing the most used facial pictures, this paper decided to take the face images from FE-NET database as the objects of modeling analysis. Considering the AAM, WT and other Facial Feature Extraction Algorithms, this took the AMM algorithm to extract and mark the facial feature, gray and match histogram. Actually, the high dimensionality of the extracted feature has a bad affection on efficiency and result in post processing, so this paper adopts the classical method PCA to process the facial feature set. This paper adopts a piecewise-linear algorithm to segment all facial images based on ages to four sections, and extract features of every section to make linear similarity compare. This paper simulates images and reverse simulation in every section, with good results.

Double Cubic Singular Blend Bézier Surfaces

“…Therefore, this paper focuses on the study of cubic Bicubic Bézier. Surface is determined by 16 control vertices ൛ܲ , ൟ|݅, ݆ = 0,1,2,3, and its expression is (1).…”

“…Veron , Kanmann and Zhang Guicang [24][25] all show that G continuity requires common normal curvature in all directions along the public connection line. It can be specifically defined as (68) Therefore, for two surfaces (57) and (58), the ‫ܩ‬ connection with ‫ܥ‬ is the satisfiable formula (60), for them to be 1 G -connected, it is not only necessary to satisfy formula (60) , and according to Definition 3 and Formula (66), it should be satisfied.…”

“…Surface modeling technology is the key technology in many fields such as CAD/CAM, CG, computer animation, computer simulation, artificial intelligence [1], computer visualization, some aspects of computer image processing [2][3], and so on. In surface design, people strive to use methods to ensure that the surface has a higher smooth continuity, but also convenient and flexible, easy to control and modify the designed surface.…”

Human Iris Localization Combined with Ant Colony and Improved Hough Circle Detection

“…Therefore, biometric recognition with the advantages of universality, uniqueness, stability, non-invasiveness, etc. [1] has become a trend of research and development, in which iris recognition has better security than fingerprint, palm print and face recognition [2]. Anti-deception and higher realism.…”