Method for multi-view 3d reconstruction based on implicit neural representations
By combining implicit neural representation and volume rendering techniques, pixel features of multi-view images are extracted and incorporated into global geometric features, solving the problem of insufficient reconstruction quality in existing methods and achieving high-resolution and detailed 3D object model reconstruction.
CN115761178BActive Publication Date: 2026-05-29HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
- Filing Date
- 2022-10-10
- Publication Date
- 2026-05-29
Smart Images
Figure CN115761178B_ABST
Abstract
The application relates to the technical field of stereoscopic view three-dimensional reconstruction, in particular to a multi-view three-dimensional reconstruction method based on implicit neural representation, which is based on implicit neural representation and volume rendering technology and proposes a multi-view three-dimensional reconstruction algorithm based on pixel feature fusion, considers the influence of incident light under different angles of view on the reconstructed geometric shape, and through the design of a pixel feature map encoder, pixel features of multi-angle images are extracted to be integrated into global geometric features of surface points, the volume rendering process of the whole reconstruction model is improved, the surface fineness of an object is improved, and a three-dimensional object model with high-resolution fine mesh representation is reconstructed.
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