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Model based 3D Face Reconstruction: A Survey
PhD Qualifying Examination Title: "Model based 3D Face Reconstruction: A Survey" by Mr. Jiaxiang SHANG Abstract: It takes a long standing endeavor by the computer graphics and vision groups in structure a framework for 3D face reconstructing, analyzing human faces based on image info and depth sensor. This topic gets rapid advancement in the previous years, that prompted novel and incredible algorithms which obtain great outcomes and solid result. Motivated by this rapid progress, this survey summarizes recent trends in 3D face reconstruction and its applications, include global optimize the method and deep learning network. We focus our discussion on methods where the central task is to recover a three dimensional model of the human face and the scene properties (camera pose and illumination). For this purpose, the 3D Morphable Model (3DMM) is commonly used. 3DMMs have been widely used for face analysis because the properties of 3DMM provide an ideal representation that is immune to intra-personal variations such as smoothing, symmetric and legal. Given a single facial input image or with depth map, a 3DMM can recover 3D face (shape and texture) via a fitting process. We provide an overview of the underlying concepts of 3D face reconstruction pipeline, and we discuss common assumptions and simplifications that make these algorithms practical. In addition, we extensively apply the facial landmark detection(face-alignment) as a pre-process, which is a crucial step helps us find the correspondences between input data and 3DMM, and then we discuss the optimization techniques that are employed to recover dense photo-geometric 3D face models and pose from RGB or RGB-D data. Finally, we discuss a variety of use cases for the reviewed algorithms in the context of rigid registration, nor-rigid registration, as well as image and depth data fitting. Date: Tuesday, 27 August 2019 Time: 2:00pm - 4:00pm Venue: Room 4472 Lifts 25/26 Committee Members: Prof. Long Quan (Supervisor) Prof. Chiew-Lan Tai (Chairperson) Prof. Huamin Qu Dr. Pedro Sander **** ALL are Welcome ****