Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance From Motion
Chunyu Li, Yusuke Monno, Hironori Hidaka, Masatoshi Okutomi
摘要
In this paper, we propose a novel projector-camera system for practical and low-cost acquisition of a dense object 3D model with the spectral reflectance property. In our system, we use a standard RGB camera and leverage an off-the-shelf projector as active illumination for both the 3D reconstruction and the spectral reflectance estimation. We first reconstruct the 3D points while estimating the poses of the camera and the projector, which are alternately moved around the object, by combining multi-view structured light and structure-from-motion (SfM) techniques. We then exploit the projector for multispectral imaging and estimate the spectral reflectance of each 3D point based on a novel spectral reflectance estimation model considering the geometric relationship between the reconstructed 3D points and the estimated projector positions. Experimental results on several real objects demonstrate that our system can precisely acquire a dense 3D model with the full spectral reflectance property using off-the-shelf devices.
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- DeProCams: Simultaneous Relighting, Compensation and Shape Reconstruction for Projector-Camera SystemsBingyao Huang, Haibin LingIEEE VR 2021 · 被引用 30 次
- Dispersed Structured Light for Hyperspectral 3D ImagingSuhyun Shin, Seokjun Choi, Felix Heide, Seung-Hwan BaekCVPR 2024 · 被引用 9 次
- Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot ProjectionChunyu Li, Yusuke Monno, Masatoshi OkutomiCVPR 2022 · 被引用 5 次
- Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure PixelsDhruv Verma, Andrew Qiu, Roberto Rangel, Ayandev Barman 等CVPR 2026
- Learning Accurate 3D Shape Based on Stereo Polarimetric ImagingTianyu Huang, Haoang Li, Kejing He, Congying Sui 等CVPR 2023
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