Abstract: Systems and methods are disclosed herein for 3-Dimensional portrait reconstruction from a single photo. A face portion of a person depicted in a portrait photo is detected and a 3-Dimensional model of the person depicted in the portrait photo constructed. In one embodiment, constructing the 3-Dimensional model involves fitting hair portions of the portrait photo to one or more helices. In another embodiment, constructing the 3-Dimensional model involves applying positional and normal boundary conditions determined based on one or more relationships between face portion shape and hair portion shape. In yet another embodiment, constructing the 3-Dimensional model involves using shape from shading to capture fine-scale details in a form of surface normals, the shape from shading based on an adaptive albedo model and/or a lighting condition estimated based on shape fitting the face portion.

Abstract: The invention discloses a method for single-view hair modeling and portrait editing. The method is capable of 3D structure reconstruction for individual's hairstyle in an input image, and it requires only a small amount of user inputs to bring about a variety of portrait editing functions; after steps of image preprocessing, 3D head model reconstruction, 2D strands extraction and 3D hairstyle reconstruction, the method finally achieves portrait editing functions such as portrait pop-ups, hairstyle replacements, hairstyle editing, etc.; the invention discloses a method for creating a 3D hair model from a single portrait view for the first time, thereby bringing about a series of practical portrait hairstyle editing functions, of which the effect is superior to methods in the prior art, and having features such as simple interactions and highly efficient calculations.

Abstract: The invention discloses a method for image and video virtual hairstyle modeling, including: performing data acquisition for a target subject by using a digital device and obtaining a hairstyle region from an image by segmenting; obtaining a uniformly distributed static hairstyle model which conforms to the original hairstyle region by solving an orientation ambiguity problem of an image hairstyle orientation field, calculating a movement of the hairstyle in a video by tracing a movement of a head model and estimating non-rigid deformation, generating a dynamic hairstyle model in every moment during the moving process, so that the dynamic hairstyle model fits the real movement of the hairstyle in the video naturally. The method is used to perform virtual 3D model reconstruction with physical rationality for individual hairstyles in single-views and video sequences, and widely applied in creating virtual characters and many hairstyle editing applications for images and videos.

Abstract: The invention discloses a method for single-view hair modeling and portrait editing. The method is capable of 3D structure reconstruction for individual's hairstyle in an input image, and it requires only a small amount of user inputs to bring about a variety of portrait editing functions; after steps of image preprocessing, 3D head model reconstruction, 2D strands extraction and 3D hairstyle reconstruction, the method finally achieves portrait editing functions such as portrait pop-ups, hairstyle replacements, hairstyle editing, etc.; the invention discloses a method for creating a 3D hair model from a single portrait view for the first time, thereby bringing about a series of practical portrait hairstyle editing functions, of which the effect is superior to methods in the prior art, and having features such as simple interactions and highly efficient calculations.