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Related papers: Phase Sampling Profilometry

200 papers

Shape from Polarization (SfP) estimates surface normals using photos captured at different polarizer rotations. Fundamentally, the SfP model assumes that light is reflected either diffusely or specularly. However, this model is not valid…

Computer Vision and Pattern Recognition · Computer Science 2016-06-14 Vage Taamazyan , Achuta Kadambi , Ramesh Raskar

We propose spatial polarization multiplexing (SPM) for joint sensing of shape and reflectance of a static or dynamic deformable object, which is also invisible to the naked eye. Past structured-light methods are limited to shape acquisition…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Tomoki Ichikawa , Ryo Kawahara , Ko Nishino

Fast-speed and high-accuracy three-dimensional (3D) shape measurement has been the goal all along in fringe projection profilometry (FPP). The dual-frequency temporal phase unwrapping method (DF-TPU) is one of the prominent technologies to…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Xiaomin Gao , Wanzhong Song , Chunqian Tan , Junzhe Lei

In phase-shifting profilometry (PSP), any motion during the acquisition of fringe patterns can introduce errors because it assumes both the object and measurement system are stationary. Therefore, we propose a method to pixel-wise reduce…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Sanghoon Jeon , Hyo-Geon Lee , Jae-Sung Lee , Bo-Min Kang , Byung-Wook Jeon , Jun Young Yoon , Jae-Sang Hyun

We introduce a novel depth estimation technique for multi-frame structured light setups using neural implicit representations of 3D space. Our approach employs a neural signed distance field (SDF), trained through self-supervised…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Rukun Qiao , Hiroshi Kawasaki , Hongbin Zha

Active 3D measurement, especially structured light (SL) has been widely used in various fields for its robustness against textureless or equivalent surfaces by low light illumination. In addition, reconstruction of large scenes by moving…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Kazuto Ichimaru , Diego Thomas , Takafumi Iwaguchi , Hiroshi Kawasaki

Single-pixel imaging (SPI) is significant for applications constrained by transmission bandwidth or lighting band, where 3D SPI can be further realized through capturing signals carrying depth. Sampling strategy and reconstruction algorithm…

Image and Video Processing · Electrical Eng. & Systems 2025-04-01 Xinyue Ma , Chenxing Wang

We present projective parallel single-pixel imaging (pPSI), a 3D photography method that provides a robust and efficient way to analyze the light transport behavior and enables separation of light effect due to global illumination, thereby…

Image and Video Processing · Electrical Eng. & Systems 2023-12-14 Yuxi Li , Hongzhi Jiang , Huijie Zhao , Xudong Li

Fringe projection profilometry (FPP) has become increasingly important in dynamic 3-D shape measurement. In FPP, it is necessary to retrieve the phase of the measured object before shape profiling. However, traditional phase retrieval…

Image and Video Processing · Electrical Eng. & Systems 2020-04-22 Haotian Yu , Xiaoyu Chen , Zhao Zhang , Yi Zhang , Dongliang Zheng , Jing Han

A resolution-enhanced dark-field microscope by structured light illumination is proposed to improve resolution and contrast. A set of phase-shifted fringes are projected to the sample plane at large angle to capture modulated dark-field…

Image and Video Processing · Electrical Eng. & Systems 2022-02-14 Shaobai Li , Bofan Song , Rongguang Liang

This paper focuses on increasing the resolution of depth maps obtained from 3D cameras using structured light technology. Two deep learning models FDSR and DKN are modified to work with high-resolution data, and data pre-processing…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Martin Melicherčík , Lukáš Gajdošech , Viktor Kocur , Martin Madaras

Shape reconstruction techniques using structured light have been widely researched and developed due to their robustness, high precision, and density. Because the techniques are based on decoding a pattern to find correspondences, it…

Computer Vision and Pattern Recognition · Computer Science 2017-10-03 Ryo Furukawa , Ryusuke Sagawa , Hiroshi Kawasaki

Hyperspectral 3D imaging aims to acquire both depth and spectral information of a scene. However, existing methods are either prohibitively expensive and bulky or compromise on spectral and depth accuracy. In this work, we present Dispersed…

Image and Video Processing · Electrical Eng. & Systems 2024-03-26 Suhyun Shin , Seokjun Choi , Felix Heide , Seung-Hwan Baek

Computational imaging modalities support a simplification of the active architectures required in an imaging system and these approaches have been validated across the electromagnetic spectrum. Recent implementations have utilized…

Classical Physics · Physics 2016-08-24 Thomas Fromenteze , Xiaojun Liu , Michael Boyarsky , Jonah Gollub , David R. Smith

In geometry processing, symmetry is a universal type of high-level structural information of 3D models and benefits many geometry processing tasks including shape segmentation, alignment, matching, and completion. Thus it is an important…

Graphics · Computer Science 2021-09-15 Lin Gao , Ling-Xiao Zhang , Hsien-Yu Meng , Yi-Hui Ren , Yu-Kun Lai , Leif Kobbelt

Precise 3D measurements of rigid surfaces are desired in many fields of application like quality control or surgery. Often, views from all around the object have to be acquired for a full 3D description of the object surface. We present a…

Optics · Physics 2014-01-10 Oliver Arold , Svenja Ettl , Florian Willomitzer , Gerd Häusler

We consider the problem of active 3D imaging using single-shot structured light systems, which are widely employed in commercial 3D sensing devices such as Apple Face ID and Intel RealSense. Traditional structured light methods typically…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Jiaheng Li , Qiyu Dai , Lihan Li , Praneeth Chakravarthula , He Sun , Baoquan Chen , Wenzheng Chen

Phase Measuring Deflectometry (PMD) acquires the two components of the local surface gradient via a sequence of two orthogonal sinusoidal fringe patterns that have to be displayed and captured separately. We will demonstrate that the…

Optics · Physics 2014-04-24 Yuankun Liu , Evelyn Olesch , Zheng Yang , Gerd Häusler

Active range sensing using structured-light is the most accurate and reliable method for obtaining 3D information. However, most of the work has been limited to range sensing of static objects, and range sensing of dynamic (moving or…

Computer Vision and Pattern Recognition · Computer Science 2015-09-15 Changsoo Je , Sang Wook Lee , Rae-Hong Park

Recent years have witnessed the surge of learned representations that directly build upon point clouds. Though becoming increasingly expressive, most existing representations still struggle to generate ordered point sets. Inspired by…

Computer Vision and Pattern Recognition · Computer Science 2023-02-06 Jiaxin Wei , Lige Liu , Ran Cheng , Wenqing Jiang , Minghao Xu , Xinyu Jiang , Tao Sun , Soren Schwertfeger , Laurent Kneip