 Recognizes human faces in photos
According to David Cao, ArcSoft's Director of Mobile Solutions, the latest FunnyFace application can automatically locate faces and recognize human facial features such as eyes, nose, mouth, chin, and jaw within a half second - improved by 6 times over the previous version - on a regular 100MHz ARM9 mobile phone. The facial feature data are used to create a geometric model to morph the facial photo into various expressions. The transformed facial image can then be seamlessly merged back into the original picture without any hints of being doctored.
ArcSoft FunnyFace for mobile phone market
A user can snap a photo of a friend, create a "FunnyFace" and send the fun masterpiece to friends and family. With a variety of funny facial expression models built into the application, FunnyFace can quickly have you smiling, sad, angry, surprised, or even thinner or fatter, with remarkably realistic results. This is the ideal application for the youth mobile phone market. FunnyFace is available for ARM7, ARM9 or ARM11 based mobile platforms.
About ArcSoft
ArcSoft, Inc. is a leading developer of multimedia software and embedded solutions for digital cameras, PC-peripheral, mobile phone, and consumer electronics manufacturers. ArcSoft offers a full line of consumer-level desktop applications centered on digital pictures and video. Established in 1994, ArcSoft is headquartered in Fremont, California, with regional commercial and development facilities in Europe and the Far East.
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ArcSoft FunnyFace for mobile phones : ArcSoft Inc. today releases its ArcSoft FunnyFace product for mobile phones. It is built on ArcSoft's patent-pending face detection and recognition algorithms. It can automatically detect human faces in photos and lets users change the faces' expression to create hilarious new images based on the original. The software is available for licensing to multiple handset OEMs and Service Providers around the world and is already shipping on over a million of handsets. With a fully automated process and graphical user interface, the application utilizes sophisticated facial recognition, feature recognition and face morphing, while still offering an easy and fun user experience on the mobile phone.
