3D Face Modeling Method for a Certain Person

描述了一种特定人的人脸三维建模方法,该方法用该人的正面及侧面人脸两张照片,通过选择关键特征点,在基本人脸模型基础上,经过变形,得到特定人脸三维网格模型。再经纹理匹配,获得特定人的三维人脸模型。该方法已在微型计算机上进行了模拟,并成功地获得酷似真人的人脸三维模型。This paper describes a method to reconstruct 3D face from a front face photo and a side face photo.After selecting key feature points and metamorphosing the basic face mode,the 3D grid face of the special person is created.After texture mapping,the special person’s 3D face model is reconstructed.This method is implemented on a PC.The experiment is successful because the 3D face model and the true face are alike.福建省自然科学基金资助项目(A0410002

The TBD method for dim targets based on multi-level crossover and matching operator

In order to improve the tracking performance in this paper following TBD( Track before Detection) framework multi-level crossover and matching operator is presented． In data association stage the greedy principle is adopted to handle time complexity in DPA and at the same time crossover mathing operator is given to construct candidate trajectory． In addition the corresponding strategy is introduced in preprocessing and postprocessing to remove clutter and suppress false alarm rate． By the experimental comparison and analysis it can be found that the method is more perfer to strengthen the tracking performance of targets with SNR ＜ 2． 0 dB．Young Talent Program of Fujian Province ( Grant No． 2007F3097)

Method to compute virtual person face expression

描述了一种结合MPEG4标准和人脸肌肉模型对人类表情进行归一化定量描述的方法。该方法通过对人脸肌肉运动参数的归一化处理,实现了人脸模型表情的定量描述,为人脸动画制作和建立人脸动画表情库,提供了简洁的途径。This paper presents a method to quantificationally measure expressions of virtual person by using MPEG4 standard and muscle-based facial model.Our method normalizes the moving parameters of facial muscles,then quantificationally measures expressions of virtual person.It provides a compact way to make animated person face or to construct a library of expressions

A new hybridization method using in NEAT

Conference Name:International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2014. Conference Address: Beijing, China. Time:February 19, 2014 - February 20, 2014.INTIEA Information and Engineering; Scientific.Net; Trans Tech publications inc.; National Institute of Technology Rourkela; Universitatea Politehnica Din Bucuresti; et alIn order to solve the problem that the speed of augmenting in NEAT algorithm is obviously not fast enough. We bring in the hybridization scheme. The scheme mainly gets new progeny chromosomes by combining parents ones. But it will probably bring in abnormal genes. As we record the time stamp for every gene, we can easily ensure that those genes are the same, so that we can simply get those completely reasonable hybrid chromosomes. We mainly use the time stamp of every gene to record information and make progeny chromosomes. ? (2014) Trans Tech Publications, Switzerland

A new NEAT algorithm to particle system modeled by ANN

Conference Name:International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2014. Conference Address: Beijing, China. Time:February 19, 2014 - February 20, 2014.INTIEA Information and Engineering; Scientific.Net; Trans Tech publications inc.; National Institute of Technology Rourkela; Universitatea Politehnica Din Bucuresti; et alOne problem in NEAT is too difficult to get the adaptive function value, Basing on some hypothesizes, we only need to widen the distance of features of speciation in the population the more the better. So the fitness function is to find the average characteristic distance of every speciation in current population, choose first n biggest speciation to leave, and remove others. ? (2014) Trans Tech Publications, Switzerland

A 3D Controllable Head and Face Modeling Method for a Certain Person

Conference Name:International Symposium on Computer Science and Computational Technology. Conference Address: Shanghai, PEOPLES R CHINA. Time:DEC 20-22, 2008.Presents a method to reconstruct a controllable 3D head and face model for a specific person. The 3D grid-muscle head and face model of the certain person is created after selecting key feature points from a front face photo and a left side face photo of the person, deforming the grid points and muscle vectors of a basic model. Then after texture mapping, we reconstruct the special person's controllable 3D head and face model. This method was implemented on a PC. The experiment was very successful because the 3D face model and the true face were alike and we can animate the model easily

Extracting of five characteristic parameters using in static gesture recognition

Conference Name:2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013. Conference Address: Zhengzhou, Henan, China. Time:August 17, 2013 - August 18, 2013.Proposed a static gesture recognition method for identifying characteristics of the object in combination. With the feature vector composed of five features, such as the number of fingers, gesture outline convex defect characteristics, the length and area of contour and Hu matrix, we adopted the template-matching method to conduct the matching of featured parameters. Experiments show that the method successfully recognized static gestures under complex background and could reduce the impact of environmental change simultaneously. ? (2013) Trans Tech Publications, Switzerland

A method of hand signal segmentation based on YCbCr space and background difference

Conference Name:2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013. Conference Address: Zhengzhou, Henan, China. Time:August 17, 2013 - August 18, 2013.This paper proposes a method of segmentation of hand signal, based on the skin color model in YCbCr space and background subtraction under complex background. This paper discussed the reasonable threshold selection of Cb, Cr in the skin color model and the segmentation selection of skin area combining the background segmentation. Finally, an inequality of hand's outline feature is proposed to complete the division processing of the palm part of the area of skin. Experiments show the accurate segmentation of gesture under a complex static background. ? (2013) Trans Tech Publications, Switzerland

A keypoints of fingers detection method based on K-medoids clustering and K-vector algorithm

Conference Name:2013 International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2013. Conference Address: Zhengzhou, Henan, China. Time:August 17, 2013 - August 18, 2013.The paper presents a calculation method to get the probable key points in hands outline. First, use K-vector to calculate the K-slope of all points in outline and get a series of peak point sets. Then, cluster the peak point sets which have been obstained by K-medoids algorithm and get the location of every fingertips and probable points; At last, distinguish the fingertips and webbed points by vector cross product operation. The experiment shows that this method achieve the precise positionong of the fingertips and finger webbed points. ? (2013)Trans Tech Publications,Switzerland