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Heterogeneous Facial Analysis and Synthesis

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-981-13-9148-4

ISBN: 978-981-13-9147-7

Publisher: Springer Singapore - Springer Journals

Jun 25, 2020

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Introduction

Li, Yi; Huang, Huaibo; He, Ran; Tan, Tieniu

Pages: 1 –9

[This chapter gives an overview of the heterogeneous problem in facial analysis as well as its synthesis solution, followed by a brief outline of the rest chapters. We start from the background and challenges in research of heterogeneous facial analysis. Then the heterogeneous facial synthesis is...
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Foundation

Li, Yi; Huang, Huaibo; He, Ran; Tan, Tieniu

Pages: 11 –23

[Compared with traditional strategies (e.g., information theoretic learning He et al, Robust recognition via information theoretic learning, 2014, [19]), deep learning techniques have recently revealed its superiority in various computer vision tasks. Deep face representation is a compact and...
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Topology-Invariant Synthesis

Li, Yi; Huang, Huaibo; He, Ran; Tan, Tieniu

Pages: 25 –51

[To narrow the inherent gap between heterogeneous face domains, much efforts have been made in the past decade. Some of these solutions resort to deep generative networks to synthesize proper face images based on inputs from another domain. It is widely agreed that facial topology tends to be...
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Topology-Variant Synthesis

Li, Yi; Huang, Huaibo; He, Ran; Tan, Tieniu

Pages: 53 –94

[Except for the aforementioned topology-invariant synthesis, there exist many challenging tasks that need to analyze or synthesize the faces across different or incomplete topologies in real-world scenarios. Taking face rotation as an example, the frontalized face is expected to have a different...
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Suggestion

Li, Yi; Huang, Huaibo; He, Ran; Tan, Tieniu

Pages: 95 –97

[Despite the promising achievements introduced in the previous chapters, there are still issues that hinder the development of heterogeneous facial analysis and synthesis. In this chapter, we give a discussion on these issues as well as research opportunities in the future. The discussion...

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