scholarly journals The Advance Image Generation Technology and Systems. An Interactive OC Animation System for Visualization of Space Phenomena, and Application to the Collision of the Comet Shoemaker-Levy 9 with Jupiter.

1995 ◽  
Vol 49 (10) ◽  
pp. 1305-1314
Author(s):  
Shogo Tokai ◽  
Takami Yasuda ◽  
Shigeki Yokoi ◽  
Jun-ichiro Toriwaki
Keyword(s):  
Image Generation ◽  
Generation Technology ◽  
Animation System

Design and Implementation of 3D Facial Animation Based on MPEG-4

2012 ◽  
Vol 433-440 ◽  
pp. 5045-5049
Author(s):  
Jian Hua Yong ◽  
Ping Guang Cheng
Keyword(s):  
Implementation Process ◽  
Facial Animation ◽  
Face Model ◽  
Design And Implementation ◽  
Design Program ◽  
Depth Study ◽  
Implementation Method ◽  
Expression Animation ◽  
Generation Technology ◽  
Animation System

Through the in-depth study of the MPEG-4 face model definition standard and animation-driven principles, learning from the existing generation technology of facial animation, this paper presents a 3D facial animation system design program. This program can accept driver information to generate a realistic facial expression animation and simulate the real face actions. At the same time, in the implementation process it also uses FAP frame with a mask and implementation method of FAP intermediate frame calculation, insert to reduce the amount of animation-driven data, and then improve the continuous effect of facial animation.

scholarly journals Kinect-Based Real-Time Acquisition Algorithm of Crop Growth Depth Images

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shan Hua ◽  
Minjie Xu ◽  
Zhifu Xu ◽  
Hongbao Ye ◽  
Cheng quan Zhou
Keyword(s):  
Real Time ◽  
Image Acquisition ◽  
Depth Map ◽  
Crop Growth ◽  
Image Generation ◽  
The Real ◽  
Real Time Image ◽  
Time Image ◽  
Time Acquisition ◽  
Generation Technology

Kinect 3D sensing real-time acquisition algorithm that can meet the requirements of fast, accurate, and real-time acquisition of image information of crop growth laws has become the trend and necessary means of digital agricultural production management. Based on this, this paper uses Kinect real-time image generation technology to try to monitor and study the depth map of crop growth law in real time, use Kinect to obtain the algorithm of crop growth depth map, and conduct investigation and research. Real-time image acquisition research on crop growth trends provides a basis for in-depth understanding of the application of Kinect real-time image generation technology in research. Kinect image real-time acquisition algorithm is a very important information carrier in agricultural information engineering. The research results show that the real-time Kinect depth image acquisition algorithm can obtain good 3D image data information and can provide valuable data basis for the 3D reconstruction of the later crop growth model, growth status analysis, and real-time monitoring of crop diseases. The data shows that, using Kinect, the real-time feedback speed of crop growth observation can be increased by 45%, the imaging accuracy is improved by 37%, and the related operation steps are simplified by 30%. The survey results show that the crop yield can be increased by about 12%.

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