Optical Polarization and Ellipsometry

Últimos artículos

• Learning Polarization Image Restoration with General Restoration Priors

  Chenggong Li, Jinhao Liu, Caiyun Wu, Yidong Luo, Junchao Zhang, Degui Yang · 28 de septiembre de 2026

  Polarization imaging captures distinctive surface and geometric cues that benefit a wide range of vision tasks. However, real-world polarization acquisition is often affected by multiple coupled degradations, making image restoration essential for practical polarization vision. Existing methods are …

• LGFN: Lightweight Gated RGB-Polarization Fusion with Modality-Availability Conditioning for Camouflaged Object Detection

  Zhuangfan Huang, Xiaosong Li, Yang Liu, Tao Ye, Haishu Tan · 14 de septiembre de 2026

  Camouflaged object detection (COD) is an important engineering task in intelligent optical perception, but it remains challenging when targets closely resemble their surroundings. Polarization imaging provides complementary physical cues, whereas existing methods typically assume fixed multimodal in…

• LG-PF: Lightweight Confidence-Guided Polarization Image Fusion

  Zhuangfan Huang, Zhenyu Kuang, Gao Wang, Yang Liu, Haishu Tan, Xiaosong Li · 14 de septiembre de 2026

  Polarization image fusion combines the stable luminance and structural information of the total- intensity image S0 with the material-sensitive details of the degree of linear polarization (DoLP) image. However, the reliability of DoLP varies spatially, and indiscriminate polarization transfer may a…

• DensePol: Dense-Angle Polarization Dataset for Learning-Based Polarimetric Vision

  Param Sangani, Ahmad Moori, Erik Blasch, Guna Seetharaman, Hadi Aliakbarpour · 10 de septiembre de 2026

  Polarimetric vision is gaining increasing attention because it provides physical cues about scene shape, material, and reflection that are difficult to recover from RGB alone. Recent work has therefore explored predicting polarization directly from conventional RGB images; however, the fidelity of t…

• Quaternion Tensor Modeling for Joint Color-Polarization Demosaicking

  Yanqing Song, Jifei Miao, Chaoqian Li, Rui Mei, Kit Ian Kou, Liqiao Yang · 4 de agosto de 2026

  Division-of-focal-plane (DoFP) color polarization cameras enable snapshot acquisition of color polarization mosaic images, but the inherently sparse sampling pattern makes color polarization demosaicking severely ill-posed. Existing methods often fail to jointly exploit the correlations among polari…

• Stokes-Informed Diffusion for Robust Linear Polarization Estimation

  Yidong Luo, Chenggong Li, Yuchao Feng, Boxin Shi, Junchao Zhang, Xin Yuan · 24 de julio de 2026

  Polarization cues benefit applications such as material detection and de-reflection, yet acquiring them typically requires dedicated hardware. This motivates us to estimate the linear polarization from a single RGB image. However, the task is inherently ill-posed, with the Angle of Polarization (AoP…

• Aperture-aware Dispersion 5-D Light-field Imaging Spectrometer

  Chenglong Huang, Tao Lv, Jianing Yang, Chongde Zi, Linsen Chen, Xun Cao · 7 de julio de 2026

  Enhancing perceptual dimensions while miniaturizing imaging systems presents significant challenges for high-dimensional visual sensing. Conventionally, the acquisition of the 5D (x,y,u,v,λ) spectral light field (5D-SLF) data cube relies on bulky and expensive camera arrays, which are impractical fo…

• CPDDNet: Color-Polarization Denoising and Demosaicking Network

  Qihang Zhang, Yusuke Monno, Masayuki Tanaka, Masatoshi Okutomi · 2 de julio de 2026

  Color-polarization imaging using a color-polarization filter array (CPFA) sensor captures both texture (color intensity) and physical (polarization) information of the scene in a single shot, enabling various applications in computer vision. However, the raw mosaic output from a CPFA sensor often su…

• Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification

  Sara Shojaei, Seyed Mohamad Ali Tousi, Emma Bennett, Param Sangani, Ali Shiri Sichani, Ilker Ersoy, Hadi Ali-Akbarpour, Filiz Bunyak, G. N. DeSouza · 9 de junio de 2026

  We present a quantum--classical hybrid pipeline for polarimetric material classification that casts this as a point-matching problem. Voxel cubes, containing polarized light reflections, are used to train an encoder to produce 32-dimensional embeddings for the voxels of the cubes. At inference, the …

• Structure-Aware Consistency Priors for Shape from Polarization in Complex Media

  Kaimin Yu, Puyun Wang, Huayang He, Xianyu Wu · 2 de junio de 2026

  Recovering surface normals from single view polarization images in complex media remains challenging. This paper focuses on ice as a representative complex medium, where intricate light matter interactions lead to a nonlinear mapping between polarization observations and surface normals. To address …

• Broadband Hyperspectral 3D Imaging using Dispersed Structured Light

  Suhyun Shin, Yunseong Moon, Ryota Maeda, David B. Lindell, Kiriakos N. Kutulakos, Seung-Hwan Baek · 26 de mayo de 2026

  Hyperspectral 3D imaging enables the capture of dense spectral information and scene geometry but has traditionally been confined to narrow spectral windows, typically the visible range. In this work, we introduce a broadband hyperspectral 3D imaging (BH3D) method to extend this capability across th…

• Snapshot Polarimetric Display Inverse Rendering

  Seokjun Choi, Yunseong Moon, Kaizhang Kang, Hoon-Gyu Chung, Jin-Nyeong Kim, Giljoo Nam, Seung-Hwan Baek · 26 de mayo de 2026

  Inverse rendering remains a core challenge in graphics and vision, especially in the snapshot configurations required for lightweight desktop workflows, where the per-frame information budget is highly constrained. Previous inverse rendering work explores various available dimensions for enriching t…

• MuellerPT: Decomposition Driven Pretraining for Dense Learning in Mueller Polarimetry

  Adam Tlemsani, Yingdian Li, Maxime Giot, Naim Slim, Christopher J. Peters, Abhijeet Ghosh, Daniel S. Elson · 25 de mayo de 2026

  Mueller matrix imaging provides rich, physically meaningful contrast for biomedical tissue analysis, but supervised learning is hindered by scarce dense annotations and strong domain shifts across specimens and acquisition settings. We introduce MuellerPT, a physics guided pre-training approach that…

• PolarVSR: A Unified Framework and Benchmark for Continuous Space-Time Polarization Video Reconstruction

  Chenggong Li, Yidong Luo, Junchao Zhang, Boxin Shi, Degui Yang · 12 de mayo de 2026

  Polarimetric imaging captures surface polarization characteristics, such as the Degree of Linear Polarization (DoLP) and the Angle of Polarization (AoP). In mainstream Division of-Focal-Plane (DoFP) color polarization imaging, recovering polarization parameters from captured mosaic arrays remains a …

• CDPR: Cross-modal Diffusion with Polarization for Reliable Monocular Depth Estimation

  Rongjia Yu, Tong Jia, Hao Wang, Xiaofang Li, Xiao Yang, Zinuo Zhang, Cuiwei Liu · 14 de abril de 2026

  Monocular depth estimation is a fundamental yet challenging task in computer vision, especially under complex conditions such as textureless surfaces, transparency, and specular reflections. Recent diffusion-based approaches have significantly advanced performance by reformulating depth prediction a…

• High-Resolution Single-Shot Polarimetric Imaging Made Easy

  Shuangfan Zhou, Chu Zhou, Heng Guo, Youwei Lyu, Boxin Shi, Zhanyu Ma, Imari Sato · 8 de abril de 2026

  Polarization-based vision has gained increasing attention for providing richer physical cues beyond RGB images. While achieving single-shot capture is highly desirable for practical applications, existing Division-of-Focal-Plane (DoFP) sensors inherently suffer from reduced spatial resolution and ar…

• Poppy: Polarization-based Plug-and-Play Guidance for Enhancing Monocular Normal Estimation

  Irene Kim, Sai Tanmay Reddy Chakkera, Alexandros Graikos, Dimitris Samaras, Akshat Dave · 31 de marzo de 2026

  Monocular surface normal estimators trained on large-scale RGB-normal data often perform poorly in the edge cases of reflective, textureless, and dark surfaces. Polarization encodes surface orientation independently of texture and albedo, offering a physics-based complement for these cases. Existing…

• ICTPolarReal: A Polarized Reflection and Material Dataset of Real World Objects

  Jing Yang, Krithika Dharanikota, Emily Jia, Haiwei Chen, Yajie Zhao · 27 de marzo de 2026

  Accurately modeling how real-world materials reflect light remains a core challenge in inverse rendering, largely due to the scarcity of real measured reflectance data. Existing approaches rely heavily on synthetic datasets with simplified illumination and limited material realism, preventing models…

• Challenges in Hyperspectral Imaging for Autonomous Driving: The HSI-Drive Case

  Koldo Basterretxea, Jon Guti\'errez-Zaballa, Javier Echanobe · 27 de marzo de 2026

  The use of hyperspectral imaging (HSI) in autonomous driving (AD), while promising, faces many challenges related to the specifics and requirements of this application domain. On the one hand, non-controlled and variable lighting conditions, the wide depth-of-field ranges, and dynamic scenes with fa…

• PolarAPP: Beyond Polarization Demosaicking for Polarimetric Applications

  Yidong Luo, Chenggong Li, Yunfeng Song, Ping Wang, Boxin Shi, Junchao Zhang, Xin Yuan · 25 de marzo de 2026

  Polarimetric imaging enables advanced vision applications such as normal estimation and de-reflection by capturing unique surface-material interactions. However, existing applications (alternatively called downstream tasks) rely on datasets constructed by naively regrouping raw measurements from div…

• End-to-End Optimization of Polarimetric Measurement and Material Classifier

  Ryota Maeda, Naoki Arikawa, Yutaka No, Shinsaku Hiura · 24 de marzo de 2026

  Material classification is a fundamental problem in computer vision and plays a crucial role in scene understanding. Previous studies have explored various material recognition methods based on reflection properties such as color, texture, specularity, and scattering. Among these cues, polarization …

• Oscillating Dispersion for Maximal Light-throughput Spectral Imaging

  Jiuyun Zhang, Zhan Shi, Linsen Chen, Xun Cao · 17 de marzo de 2026

  Existing computational spectral imaging systems typically rely on coded aperture and beam splitters that block a substantial fraction of incident light, degrading reconstruction quality under light-starved conditions. To address this limitation, we develop the Oscillating Dispersion Imaging Spectrom…

• PhyGaP: Physically-Grounded Gaussians with Polarization Cues

  Jiale Wu, Xiaoyang Bai, Zongqi He, Weiwei Xu, Yifan Peng · 17 de marzo de 2026

  Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated great success in modeling reflective 3D objects and their interaction with the environment via deferred rendering (DR). However, existing methods often struggle with correctly reconstructing physical attributes such as albedo and refl…

• Architectural Unification for Polarimetric Imaging Across Multiple Degradations

  Chu Zhou, Yufei Han, Junda Liao, Linrui Dai, Wangze Xu, Art Subpa-Asa, Heng Guo, Boxin Shi, Imari Sato · 9 de marzo de 2026

  Polarimetric imaging aims to recover polarimetric parameters, including Total Intensity (TI), Degree of Polarization (DoP), and Angle of Polarization (AoP), from captured polarized measurements. In real-world scenarios, these measurements are frequently affected by diverse degradations such as low-l…

• Revisiting Shape from Polarization in the Era of Vision Foundation Models

  Chenhao Li, Taishi Ono, Takeshi Uemori, Yusuke Moriuchi · 6 de marzo de 2026

  We show that, with polarization cues, a lightweight model trained on a small dataset can outperform RGB-only vision foundation models (VFMs) in single-shot object-level surface normal estimation. Shape from polarization (SfP) has long been studied due to the strong physical relationship between pola…