Scilight Press

Computational Vision and Imaging (CVI) is a leading journal dedicated to publishing advanced research at the intersection of vision, imaging, computation, artificial intelligence, and perception. Our primary aim is to foster interdisciplinary research that bridges the gap between computer vision, computational imaging, machine learning, and cognitive sciences, focusing on developing innovative solutions to tackle the complex challenges of imaging processing, analysis, and interpretation. It is published quarterly online by Scilight Press.

We seek impactful contributions on novel algorithms, machine learning models, and computational solutions for visual understanding across diverse domains such as engineering, medicine, sports, smart cities, computer-aided diagnosis, autonomous systems, robotics, virtual reality, and neuroscience.

Topics include, but are not limited to:

Advanced Imaging Systems: Developing and optimizing new imaging technologies and sensors for complex visual data acquisition.

Vision-based Computational Solutions: Algorithms and machine learning models for feature extraction, object classification, tracking, recognition, analysis, and visual scene understanding.

Cognitive and Perceptual Computing: Insights into the intersection of visual perception and computational systems, including human-computer interaction and brain-computer interfaces.

Medical and Clinical Imaging: Innovative applications of computational imaging in diagnosis, monitoring, and therapeutic practices, encompassing imaging biomarkers and precision medicine.

Computational Vision for Autonomous Systems: Vision algorithms for autonomous navigation, including real-time image processing, simultaneous localization and mapping, and environment understanding.

Computational Vision for Smart Cities: Vision algorithms for surveillance, security, behavior analysis, service customization, and biometric analysis in Smart and Cognitive Cities.

Cross-Disciplinary Computer Vision Research: Bridging vision technologies with other scientific fields, such as industry, bioinformatics, sports, linguistics, and environmental monitoring, for novel interdisciplinary applications.