A New Volumetric Fusion Strategy with Adaptive Weight Field for RGB-D Reconstruction.

ABSTRACT: High-quality 3D reconstruction results are very important in many application fields. However, current texture generation methods based on point sampling and fusion often produce blur. To solve this problem, we propose a new volumetric fusion strategy which can be embedded in the current online and offline reconstruction framework as a basic module to achieve excellent geometry and texture effects. The improvement comes from two aspects. Firstly, we establish an adaptive weight field to evaluate and adjust the reliability of data from RGB-D images by using a probabilistic and heuristic method. By using this adaptive weight field to guide the voxel fusion process, we can effectively preserve the local texture structure of the mesh, avoid wrong texture problems and suppress the influence of

SUBMITTER: Liu X 

PROVIDER: S-EPMC7436277 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature