A Projector-Camera System Using Hybrid Pixels with Projection and Capturing Capabilities
We propose a novel projector-camera system (ProCams) in which each pixel has both projection and capturing capabilities. Our proposed ProCams solves the difficulty of obtaining precise pixel correspondence between the projector and the camera. We implemented a proof-of-concept ProCams prototype and demonstrated its applicability to a dynamic projection mapping.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Breaking the Scalability Limit of Multi-Projector Calibration with Embedded Cameras
Conventional multi-projector calibration requires projecting and capturing structured light patterns for each projector sequentially, causing calibration time and effort to increase linearly with the number of projectors…
Ray-based phase error correction for miniaturized DOE projector-based FPP under single-directional hyperbolic projection
Fringe Projection Profilometry (FPP) systems using miniaturized DOE pro-jectors often suffer from severe phase artifacts due to nonlinear projection characteristics and limited pattern controllability. We propose a ray-b…
FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras
A 3D imaging and mapping system that can handle both multiple-viewers and dynamic-objects is attractive for many applications. We propose a freeform structured light system that does not rigidly constrain camera(s) to th…
3D ReconstructionActive One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture
The central projection model commonly used to model cameras as well as projectors, results in similar advantages and disadvantages in both types of system. Considering the case of active stereo systems using a projector …
GS-ProCams: Gaussian Splatting-based Projector-Camera Systems
We present GS-ProCams, the first Gaussian Splatting-based framework for projector-camera systems (ProCams). GS-ProCams significantly enhances the efficiency of projection mapping (PM) that requires establishing geometric…
GPUNeRF