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Found 17 papers, 2 papers with code
Reflection Removal Using Recurrent Polarization-to-Polarization Network
This paper addresses reflection removal, which is the task of separating reflection components from a captured image and deriving the image with only transmission components.
Self-Supervised Spatially Variant PSF Estimation for Aberration-Aware Depth-from-Defocus
In this paper, we address the task of aberration-aware depth-from-defocus (DfD), which takes account of spatially variant point spread functions (PSFs) of a real camera.
Polarimetric PatchMatch Multi-View Stereo
PatchMatch Multi-View Stereo (PatchMatch MVS) is one of the popular MVS approaches, owing to its balanced accuracy and efficiency.
Polarimetric Multi-View Inverse Rendering
We then refine the initial model by optimizing photometric rendering errors and polarimetric errors using multi-view RGB, AoP, and DoP images, where we propose a novel polarimetric cost function that enables an effective constraint on the estimated surface normal of each vertex, while considering four possible ambiguous azimuth angles revealed from the AoP measurement.
Dual-Pixel Raindrop Removal
In this paper, we propose the first method using a Dual-Pixel (DP) sensor to better address the raindrop removal.
Two-Step Color-Polarization Demosaicking Network
Polarization information of light in a scene is valuable for various image processing and computer vision tasks.
Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection
To jointly reconstruct the depth and the hyperspectral reflectance from a single color-dot image, we propose a novel end-to-end network architecture that effectively incorporates a geometric color-dot pattern loss and a photometric hyperspectral reflectance loss.
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
For this purpose, an encoder-decoder network draws wide attention, where the encoder is required to encode a high-quality rain embedding which determines the performance of the subsequent decoding stage to reconstruct the rain layer.
Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
In addition, we propose a novel generalized photometric loss function to avoid the complicated process of finding proper weights for balancing the depth and the pose loss terms, which is required for existing direct depth and pose supervision approaches.
Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance
Reconstructing an object's high-quality 3D shape with inherent spectral reflectance property, beyond typical device-dependent RGB albedos, opens the door to applications requiring a high-fidelity 3D model in terms of both geometry and photometry.
Spectral Reflectance Estimation Using Projector with Unknown Spectral Power Distribution
A lighting-based multispectral imaging system using an RGB camera and a projector is one of the most practical and low-cost systems to acquire multispectral observations for estimating the scene's spectral reflectance information.
Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array
In this paper, we propose a deep snapshot high dynamic range (HDR) imaging framework that can effectively reconstruct an HDR image from the RAW data captured using a multi-exposure color filter array (ME-CFA), which consists of a mosaic pattern of RGB filters with different exposure levels.
Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation
Since the polarimeter consists of an image sensor equipped with a monochrome or color polarization filter array (MPFA or CPFA), the demosaicking process to interpolate missing pixel values plays a crucial role in obtaining high-quality polarization images.
Polarimetric Multi-View Inverse Rendering
A polarization camera has great potential for 3D reconstruction since the angle of polarization (AoP) of reflected light is related to an object's surface normal.
Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation
Gastric endoscopy is a standard clinical process that enables medical practitioners to diagnose various lesions inside a patient's stomach.
Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance from Motion
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.
3D Reconstruction of Whole Stomach from Endoscope Video Using Structure-from-Motion
In this work, we investigated how to enable structure-from-motion (SfM) to reconstruct the whole shape of a stomach from a standard endoscope video.
