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.
|Title of host publication||BMVA|
|Publisher||British Machine Vision Association|
|Publication status||Accepted for publication - 3 Aug 2017|
|Event||28th British Machine Vision Conference AFAHBU Workshop - London, United Kingdom|
Duration: 4 Sep 2017 → 7 Sep 2017
|Conference||28th British Machine Vision Conference AFAHBU Workshop|
|Period||4/09/17 → 7/09/17|