Single image hair reconstructing method based on matching of direction field and helixes

Abstract

The invention discloses a single image hair reconstructing method based on matching of a direction field and helixes. The method involves four stages. In the first stage, through user interaction division of an input single image, a head model is reconstructed by utilizing an obtained face area. In the second stage, by utilizing a hair area, reliable hair direction field information is obtained and a two-dimensional hairline segment hair model is generated. In the third stage, helix model matching is performed on two-dimensional hairlines according to the result of the second phase and the depth value of the hairline is estimated through combining with the reconstructed head model. In the fourth stage, by utilizing the two-dimensional hairline segment hair model and the corresponding depth value, an initial visible area three-dimensional hair model is obtained, an invisible area hair model is obtained by utilizing a hair database and a complete dense hair model is obtained through regrowth via the three-dimensional direction field. The invention can reconstruct the hair model which is highly similar to an original image and has characteristics of simple interaction, convenient user operation and the like.

Description

technical field [0001] The invention belongs to the field of computer vision and computer graphics and image processing, and specifically relates to a single-image hair reconstruction method based on direction field and helix matching, which is mainly used in the fields of games, film and television animation, virtual reality and the like. Background technique [0002] In computer graphics, the three-dimensional modeling of virtual characters has always been an important topic for researchers. Whether it is virtual reality, movie special effects, video games or other computer graphics and vision-related fields, visually realistic character modeling technology has a wide range of applications. Hair is an important feature of a character. The shape of hair varies from person to person, and sometimes it is an important symbol to distinguish different people. At the same time, there are many strands of hair, and the shape, motion and optical properties of hair are very complex....

AI Technical Summary

Problems solved by technology

However, the current image-based 3D hair reconstruction methods focus on modeling based on multi-viewpoint acquisition images, which need to build a complex acquisition environment and cannot be applied to environments other than laboratories.

The results of the only hair modeling methods based on a single image are not ideal, the hairstyles that can be modeled are relatively limited, and the uniformity of hair growth and the reliability of hair depth cannot be guaranteed

Images