Improved Facial Mapping and Modeling
- Detailed Technology Description
- Executive Summary Improving facial recognition and facial mapping is an area of research which has been rapidly advancing in the last decade in order to improve both security and entertainment products. This MSU developed technology has the ability to improve both high-quality 3D face fitting and facial recognition technologies allowing for the improvement of video identification and tracking, computer generated models, and face swapping software. In addition to increasing the resolution of mapping, this software has the ability to recognize expressions of a facial image. Description of Technology The improvements in quality are facilitated by the increase in the amount and selection of landmark points on a person’s face when generating a 3D image from a source image. This technology is able to better distinguish the face from the image background. The density of landmark points is increased in areas where fine details occur, such as wrinkles or scars. When these improvements are combined, the resulting generated image is far more detailed than that produced using current technologies. Key BenefitsImproved modeling of facial featuresTrained with multiple databases, removes database bias ApplicationsAugmented Reality/Virtual RealityFacial RecognitionComputer Generated ImagesVideo Games IP Status: Copyright Licensing Rights Available Non-exclusive rights Inventors: Xiaoming Liu, Yaojie Liu, Amin Jourabloo Tech ID: TEC2017-0086
- *Abstract
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None
- *Principal Investigator
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Name: Xiaoming Liu, Assistant Professor
Department: Computer Science & Engineering
Name: Yaojie Liu, Student
Department: Computer Science and Engineering
Name: Amin Jourabloo, Doctoral Student
Department: Computer Science & Engineering
- Country/Region
- USA
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