scholarly journals Design of 3D Modeling Face Image Library in Multimedia Film and Television

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Di Lei ◽  
Sae-Hoon Kim
Keyword(s):  
3D Modeling ◽  
Feature Detection ◽  
Face Image ◽  
Transmission Model ◽  
Facial Image ◽  
3D Technology ◽  
Television Industry ◽  
Film And Television ◽  
Geometric Conditions ◽  
Image Library

The development of 3D modeling technology has promoted the development of the multimedia film and television industry. This article is aimed at studying the design of 3D modeling facial image library in multimedia film and television, at providing a more comprehensive facial image library for the multimedia film and television industry, at breaking the shackles of the traditional film and television industry with 3D technology, and at continuously surpassing traditional film and television media forms. This article deeply explores the background development of multimedia film and television and the characteristics of the development of new media. Starting from 3D technology, it extracts facial features of characters, transforms image data through deep autoencoders, and uses local binarization mode to perform the original facial image is subjected to texture feature extraction. In this paper, a number of experimental subjects were selected, and the subjects were photographed from the left, front, and right from multiple angles. Through the pinhole camera projection imaging process, the internal and external parameters of the camera were adjusted. In the process of 3D image construction, the image is first selected for feature detection, then the corresponding vector information and geometric conditions are matched to construct a 3D matrix, and the facial structure image is obtained by triangulation. This article compares the 3D production software on the market and selects the Maya platform suitable for building this system. The global constraint information is obtained by training some sample images. When searching the test image, find the appropriate feature point position according to the structural matching degree of the local image. When each search is completed, the global information will be used for constraint, so as to output reasonable feature information. The average residual range of the human face image constructed in this paper is 0.25-0.45, and the maximum residual error does not exceed 4.0. The experimental method in this paper has good stability and robustness. Using the COM transmission model can make experimenters not need to think too much about the underlying details. This face animation-driven simulation scheme can achieve more vivid facial expressions.

Facial Image Processing in Computer Vision

2013 ◽  
pp. 1111-1123
Author(s):  
Moi Hoon Yap ◽  
Hassan Ugail
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Computer Animation ◽  
Feature Detection ◽  
Research Field ◽  
Future Research ◽  
Expression Recognition ◽  
Facial Image ◽  
Detection Techniques ◽  
Future Challenges

The application of computer vision in face processing remains an important research field. The aim of this chapter is to provide an up-to-date review of research efforts of computer vision scientist in facial image processing, especially in the areas of entertainment industry, surveillance, and other human computer interaction applications. To be more specific, this chapter reviews and demonstrates the techniques of visible facial analysis, regardless of specific application areas. First, the chapter makes a thorough survey and comparison of face detection techniques. It provides some demonstrations on the effect of computer vision algorithms and colour segmentation on face images. Then, it reviews the facial expression recognition from the psychological aspect (Facial Action Coding System, FACS) and from the computer animation aspect (MPEG-4 Standard). The chapter also discusses two popular existing facial feature detection techniques: Gabor feature based boosted classifiers and Active Appearance Models, and demonstrate the performance on our in-house dataset. Finally, the chapter concludes with the future challenges and future research direction of facial image processing.

Hybrid Features Extraction for Adaptive Face Images Retrieval

2020 ◽  
Vol 11 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Adel Alti
Keyword(s):  
Feature Extraction ◽  
Recognition Accuracy ◽  
Face Image ◽  
Human Face ◽  
Gradient Vector ◽  
Facial Image ◽  
Hybrid Features ◽  
Face Images ◽  
Hybrid Feature Extraction ◽  
Face Emotion Recognition

Existing methods of face emotion recognition have been limited in performance in terms of recognition accuracy and execution time. It is highly important to use efficient techniques for improving this performance. In this article, the authors present an automatic facial image retrieval combining the advantages of color normalization by texture estimators with the gradient vector. Starting from a query face image, an efficient algorithm for human face by hybrid feature extraction provides very interesting results.

Virtual Sets

2011 ◽  
pp. 247-267
Author(s):  
Antonia Lucinelma Pessoa Albuquerque ◽  
Jonas Gomes ◽  
Luiz Velho
Keyword(s):  
Computer Graphics ◽  
High Speed ◽  
Technological Advance ◽  
Back Projection ◽  
Special Effects ◽  
Television Industry ◽  
High Speed Networks ◽  
Film And Television ◽  
Remote Operation ◽  
Potential Applications

Techniques of filming using special effects have existed since the 1920s, well before the advent of computers. Two of them are known as Back Projection—when an actor acts in front of a screen that reproduces other footage (very common in train scenes), and Blue Screen—when an actor acts in front of a blue wall for later composition with another scene (Fielding, 1985). However, it was computer graphics and the technological advance of the computers that made possible the great evolution in this area. Virtual Sets or Virtual Studios are denominations given to the integrated use of computer-generated elements with real actors and objects in a studio. Its main advantages are: more flexibility in changing the scene, risky scenes can be made safely, allowing the production of complex special effects and also providing economy in the production of sophisticated designs, along with flexibility in making quick changes. With the advent of high-speed networks, there is the possibility of remote operation. Real-time Virtual Sets is a very recent area for computer graphics with potential applications in the film and television industry. The literature about this topic is scarce although there are few commercial systems available, which will be described later. This work approaches Virtual Sets, describing its conceptualization and showing its correlation with other areas in computer graphics. The Virtual Sets’ pertinent technologies are identified in computer graphics and have their given solutions and unsolved problems argued.

Structural Design and System Integration of 3D Camera Pan-and-Tilt

2013 ◽  
Vol 419 ◽  
pp. 735-739
Author(s):  
Nan Hai Bao ◽  
Liang Xu ◽  
Yue Dong ◽  
Yue Pan ◽  
Qi Yang ◽  
...  
Keyword(s):  
Intelligent Control ◽  
Structural Design ◽  
System Integration ◽  
3D Display ◽  
3D Technology ◽  
Industry Chain ◽  
Film And Television ◽  
3D Camera ◽  
Ultrasonic Ranging ◽  
Design And Manufacture

The movie Avatar has risen of the tide of 3D all over the world, which also drives the development of 3D technology. With the increase of the number of 3D cinemas and 3D television channels, provide more platform for the development of 3D technology. With the development of 3D technology and the 3D industry chain gradually forming, 3D will become the mainstream of film and television. In this paper, according to the 3D display principle and the needs of filming, design and manufacture, can carry large camera, integrated precision CNC technology, intelligent control technology and the ultrasonic ranging, high-precision adjustment of two camera displacement and angle can achieve, support a variety of camera models, 3D camera pan-and-tilt for horizontal.

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