3D Face Modeling using Two Images on a Smartphone
Won-Beom Lee, Manhee Lee, Inkyu Park · Jeongbo gwahaghoe nonmunji. si'seu'tem mich i'lon · 2011
In this paper, we propose an efficient method for creating a photorealistic 3D face model on a smartphone. Major features of the human face such as eyes, nose, lip, cheek, chin, and profile boundary are extracted automatically from the front and profile images, in which ACM (active contour mode]) and deformable ICP (iterative closest point) methods are employed. A 3D face model is generated by deforming a generic model so that the 3D face model is correctly corresponded to the extracted facial features. Skin texture map is created from the input image, which are mapped on the deformed 3D face model. All procedures are implemented and optimized efficiently on the smartphone with limited processing power and memory capability. Experimental results show that photorealistic 3D face models are created on a variety of test samples. It takes about 6 seconds on the smartphone.