Abstract
Textures have been a research focus for many years in human perception, computer graphics and computer vision. Recently, research activities in this area emphasize on texture synthesis. Given one or more example textures, a texture synthesis algorithm generates a new one bearing the same visual characteristics. The synthesized texture can be made of arbitrary size specified by the user. It can be used in many fields such as computer animation, virtual reality, data compression, non-photorealistic rendering and so on. In this paper, the basic concepts of texture and the development process of texture synthesis techniques are introduced first. Then the recent key patents on texture synthesis schemes are reviewed. Finally, this paper points out future works in this area.
Keywords: Anisometric synthesis, neighborhood matching, texture synthesis, SYNTHESIS TEXTURES, Pixel-based algorithms, Motion Field Texture Synthesis, Wavelet Transformation, Interval Distribution of Texture Blocks, Video Encoding, Texture Compression
Related Books
Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Recent Advances in IoT and Blockchain Technology
Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II
Machine Learning and Its Application: A Quick Guide for Beginners
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
How to Design Optimization Algorithms by Applying Natural Behavioral Patterns
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part I)
17