From Single to Multi Modal Face Analysis and Processing

Dear Colleagues,

In recent years, we have witnessed the continuous development of digital imaging devices. In addition to traditional cameras, we now have portable 3D scanners, cheap infrared acquisition devices, high-resolution mobile cameras, etc. The availability of these devices has led to large improvements in several imaging applications, including those centered on human faces, such as face modeling, analysis, and recognition.

The richness in image modalities allows to address complex scenarios where the analysis of faces is made difficult by numerous challenges, such as facial pose changes, partial occlusions, illumination changes, or expression variations. For instance, the 3D shape of faces represents a highly-discriminative cue that can be used for recognition purposes, as well as for different other applications.

With the recent advent of Deep Learning techniques, and the introduction of large annotated datasets, new solutions have been developed, as well as in the fields of multimodal face modeling and analysis, showing outstanding results, even in the most challenging tasks.

This Special Issue is particularly interested in, but it is not limited to, recent advances on face recognition, modeling, and synthesis, from single and multiple image modalities, including, for instance, 3D, infrared, multispectral, videos and traditional photographs.

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• 3D face modeling and synthesis
• 3D face analysis
• Multimodal face recognition
• Image to video face recognition
• Acquisition and processing of 3D face from Mobile
• Face analysis from infrared and multispectral images
• Deep learning and machine learning for face analysis
• Facial behavior analysis and understanding