The IPSJ Transactions on Computer Vision and Applications is a premier source for cutting-edge research in the rapidly evolving fields of computer vision and its diverse applications. Aiming to foster innovation and disseminate knowledge, this journal publishes high-quality articles that explore the theoretical foundations, algorithms, and practical implementations of computer vision technologies.
Key topics covered include image recognition, object detection, scene understanding, video analysis, 3D vision, and deep learning approaches to computer vision. The journal also emphasizes applications in areas such as robotics, autonomous driving, medical imaging, augmented reality, and security systems. Contributions exploring novel datasets, benchmarks, and evaluation metrics are highly encouraged. Indexed in major databases, the journal attracts a broad audience of researchers, engineers, and practitioners.
Researchers are invited to submit their original work to this influential platform, contributing to the advancement of computer vision and its transformative impact on various sectors. It promotes open access, aiming to broaden the reach and accessibility of its published research, fostering collaboration and innovation within the global computer vision community.