Abstract
Bottom and concave shapes on object surface are difficult to reconstruct in image-based visual hull method. In this paper, we propose a simple but efficient method to solve these problems in regular image-based visual hull framework. With the help of a simple image acquiring platform which involves a glass and a mirror, we can capture images of the object from both upper and lower side at the same time. Using these images, silhouette cones necessary for reconstructing the bottom and the concave surfaces could be generated. Therefore the final rendering result of the object can be significantly improved in accuracy and reality, especially in the parts of bottom and concaves.
Highlights
Visual hull is an efficient technique for image-based rendering and modeling of real objects
We propose an improved visual hull rendering method to solve the bottom and concave problem
The method takes advantage of a new image acquiring platform, which involves a planar glass and a planar mirror. Utilizing this simple and efficient platform, we can obtain images of the target object and its bottom at the same time; images of the concave surface are available. These images can be used as reference images of the Image-Based Visual Hull method [4] after simple transformations
Summary
Visual hull is an efficient technique for image-based rendering and modeling of real objects. The method takes advantage of a new image acquiring platform, which involves a planar glass and a planar mirror. Utilizing this simple and efficient platform, we can obtain images of the target object and its bottom at the same time; images of the concave surface are available. These images can be used as reference images of the Image-Based Visual Hull method [4] after simple transformations. Projecting the nearest endpoint of final 3D segments onto the reference images, the color of current pixel could be synthesized
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