| Paper ID | SMR-05.14 | ||
| Paper Title | Combination of handcrafted and deep learning-based features for 3D mesh quality assessment | ||
| Authors | Ilyass Abouelaziz, Computer Science & Telecommunications Laboratory Research (LRIT) Mohammed V University, Morocco; Aladine Chetouani, PRISME, unversity of Orleans, France; Mohamed El Hassouni, Computer Science & Telecommunications Laboratory Research (LRIT) Mohammed V University, Morocco; Longin Jan Latecki, Temple University, United States; Hocine Cherifi, University of Burgundy, France | ||
| Session | SMR-05: Perception and Quality Models for Images & Video | ||
| Time | Tuesday, 27 October, 17:30 - 18:25 | ||
| Topic | [SMR] Image & Video Sensing, Modeling, and Representation: [SMR-HPM] Perception and Quality Models for Images & Video | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Virtual Presentation | Click here to watch in the Virtual Conference | ||