Machine Graphics & Vision is dedicated to the advancement of computer graphics, image processing, and computer vision. It provides a platform for researchers and practitioners to disseminate innovative research findings and technological advancements in these interconnected fields. The journal covers a broad spectrum of topics, including algorithms, methodologies, and applications.
Topics covered include 3D modeling, rendering, image analysis, pattern recognition, and machine learning techniques applied to visual data. It is indexed in Google Scholar and other relevant databases, ensuring visibility within the computer science and engineering communities. Its target audience includes researchers, engineers, and academics working in computer graphics, image processing, and computer vision.
Authors are encouraged to submit their original research to contribute to the journal’s growing body of knowledge. By publishing in Machine Graphics & Vision, researchers can share their insights with an international audience and help shape the future of these rapidly evolving fields. As a leading journal in its domain, it promotes innovation and collaboration, driving progress in visual computing and artificial intelligence.