Automatic 3D face recovery from a single frame of a RGB-D sensor

Shu Zhang, Junyu Dong, Hui Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Three dimensional (3D) facial analysis is becoming increasingly important for various tasks in computer vision, human-computer interaction and computer graphics. An automatic approach for obtaining a complete and accurate 3D facial model is crucial for those applications such as 3D video conference and personalized 3D facial animations. This paper presents a novel approach to automatically reconstruct a complete 3D facial model. The proposed method only utilizes a single shot of a RGBD camera regardless of noises and data missing from the input, such as holes on the surface due to self-occlusion. The 3D face models can be reconstructed automatically without any manual intervention. The experiments demonstrate the fine-grained results with both online captured RGB-D data and 3D scanned database.
Original languageEnglish
Title of host publicationBMVA
PublisherBritish Machine Vision Association
Publication statusAccepted for publication - 3 Aug 2017
Event28th British Machine Vision Conference AFAHBU Workshop - London, United Kingdom
Duration: 4 Sept 20177 Sept 2017


Conference28th British Machine Vision Conference AFAHBU Workshop
Country/TerritoryUnited Kingdom


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