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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 ****