Transparent Object Reconstruction via Coded Transport of Intensity
Capturing and understanding visual signals is one of the core interests of computer vision. Much progress has been made w.r.t. many aspects of imaging, but the reconstruction of refractive phenomena, such as turbulence, gas and heat flows, liquids, or transparent solids, has remained a challenging problem. In this paper, we derive an intuitive formulation of light transport in refractive media using light fields and the transport of intensity equation. We show how coded illumination in combination with pairs of recorded images allow for robust computational reconstruction of dynamic two and three-dimensional refractive phenomena.
Code (0)
등록된 구현이 없습니다.
Tasks
ObjectObject ReconstructionSimilar Papers 제목 키워드 기반
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
Recovering the 3D shape of transparent objects using a small number of unconstrained natural images is an ill-posed problem. Complex light paths induced by refraction and reflection have prevented both traditional and de…
3D geometry3D Point Cloud Reconstruction3D ReconstructionPoint cloud reconstruction+1Radiative Transport Based Flame Volume Reconstruction from Videos
We introduce a novel approach for flame volume reconstruction from videos using inexpensive charge-coupled device (CCD) consumer cameras. The approach includes an economical data capture technique using inexpensive CCD c…
Lensless hyperspectral imaging by Fourier transform spectroscopy for broadband visible light: phase retrieval technique
A novel phase retrieval algorithm for broadband hyperspectral phase imaging from noisy intensity observations is proposed. It utilizes advantages of the Fourier Transform spectroscopy in the self-referencing optical setu…
RetrievalTransparent objectsDifferentiable Neural Surface Refinement for Modeling Transparent Objects
Neural implicit surface reconstruction leveraging volume rendering has led to significant advances in multi-view reconstruction. However results for transparent objects can be very poor primarily because the renderin…
Novel View SynthesisSurface ReconstructionTransparent objectsPhysics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging
Coded-illumination can enable quantitative phase microscopy of transparent samples with minimal hardware requirements. Intensity images are captured with different source patterns and a non-linear phase retrieval optimiz…
Experimental DesignRetrieval