Mustafa Özuysal

Mustafa Özuysal is an Assistant Professor in the Department of Computer Engineering at the College of Engineering, Izmir Institute of Technology (İYTE), where he leads the Visual Intelligence Research Group. His research focuses on computer vision, including object detection, tracking-by-detection, and real-time scene text recognition, with applications on mobile devices.

Research Interests:

• Large-scale object detection
• Object detection and tracking on mobile platforms
• Real-time scene text recognition
• Feature learning from image and video sequences
• Augmented reality and camera egomotion estimation

His scholarly work includes influential publications in IEEE TPAMI, IET Computer Vision, and top-tier conferences such as CVPR and ECCV, particularly in local feature descriptors like BRIEF and keypoint recognition using random ferns. His research emphasizes efficient, real-time algorithms suitable for embedded and mobile systems.

Scientific Contributions:

• Co-developer of the BRIEF descriptor, widely used in computer vision for fast binary feature matching.
• Contributor to tracking-by-detection frameworks and homography estimation methods robust to occlusions and viewpoint changes.

Dr. Özuysal has taught a range of undergraduate and graduate courses, including Introduction to Image Understanding, Vision-Based Tracking and Modeling, Data Structures, and Mobile Application Development. He advises the Visual Intelligence Research Group and continues to advance research in scalable and efficient vision systems.