English
Related papers

Related papers: Phase Sampling Profilometry

200 papers

Phase is a fundamental resource for optical imaging but cannot be directly observed with intensity measurements. The existing methods to quantify a phase distribution rely on complex devices and structures. Here we experimentally…

Optics · Physics 2020-03-25 Tengfeng Zhu , Junyi Huang , Zhichao Ruan

This paper tackles the problem of estimating 3D body shape of clothed humans from single polarized 2D images, i.e. polarization images. Polarization images are known to be able to capture polarized reflected lights that preserve rich…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Shihao Zou , Xinxin Zuo , Yiming Qian , Sen Wang , Chi Xu , Minglun Gong , Li Cheng

Optical interferometry has made tremendous development in fundamentals and applications of light. Traditional optical interferometry using simplex plane phase light just allows one dimensional measurement, but incapable of retrieving…

Optics · Physics 2019-12-10 Liang Fang , Zhenyu Wan , Jian Wang

Parametric 3D models have formed a fundamental role in modeling deformable objects, such as human bodies, faces, and hands; however, the construction of such parametric models requires significant manual intervention and domain expertise.…

Computer Vision and Pattern Recognition · Computer Science 2022-01-21 Pablo Palafox , Nikolaos Sarafianos , Tony Tung , Angela Dai

The structured light (SL)-based three-dimensional (3D) measurement techniques with deep learning have been widely studied to improve measurement efficiency, among which fringe projection profilometry (FPP) and speckle projection…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Mingyang Lei , Jingfan Fan , Long Shao , Hong Song , Deqiang Xiao , Danni Ai , Tianyu Fu , Ying Gu , Jian Yang

Ptychography is a promising phase retrieval technique for visible light, X-ray and electron beams. Conventional ptychography reconstructs the amplitude and phase of an object light from a set of the diffraction intensity patterns obtained…

Photometric stereo (PS) is a fundamental technique in computer vision known to produce 3-D shape with high accuracy. The setting of PS is defined by using several input images of a static scene taken from one and the same camera position…

Computer Vision and Pattern Recognition · Computer Science 2017-09-06 Maryam Khanian , Ali Sharifi Boroujerdi , Michael Breuß

Phase shift profilometry has become a standard technique for recording the surface of an object using the projection of sinusoidal patterns. We present a method of projecting the patterns via a pair of single-mode optical fibers mounted…

Optics · Physics 2024-05-16 Steven Johnson , Hal Gee , Faith Nwachi , Simon Peter Mekhail

Hyperspectral 3D imaging captures both depth maps and hyperspectral images, enabling comprehensive geometric and material analysis. Recent methods achieve high spectral and depth accuracy; however, they require long acquisition times often…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Suhyun Shin , Seungwoo Yoon , Ryota Maeda , Seung-Hwan Baek

Phase is an intrinsic property of light, and thus a crucial parameter across numerous applications in modern optics. Various methods exist for measuring the phase of light, each presenting challenges and limitations-from the mechanical…

We present a novel 3D face reconstruction technique that leverages sparse photometric stereo (PS) and latest advances on face registration/modeling from a single image. We observe that 3D morphable faces approach provides a reasonable…

Computer Vision and Pattern Recognition · Computer Science 2017-11-30 Xuan Cao , Zhang Chen , Anpei Chen , Xin Chen , Cen Wang , Jingyi Yu

Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using…

Computer Vision and Pattern Recognition · Computer Science 2015-09-01 Changsoo Je , Kwang Hee Lee , Sang Wook Lee

Point-spread-function (PSF) engineering is a well-established computational imaging technique that uses phase masks and other optical elements to embed extra information (e.g., depth) into the images captured by conventional CMOS image…

Computer Vision and Pattern Recognition · Computer Science 2024-06-14 Sachin Shah , Matthew Albert Chan , Haoming Cai , Jingxi Chen , Sakshum Kulshrestha , Chahat Deep Singh , Yiannis Aloimonos , Christopher Metzler

Phase imaging techniques extract the optical path-length information of a scene, whereas wavefront sensors provide the shape of an optical wavefront. Since these two applications have different technical requirements, they have developed…

Optics · Physics 2018-02-28 F. Soldevila , V. Durán , P. Clemente , J. Lancis , E. Tajahuerce

Optical instruments for measuring surface-wave characteristics provide a better spatial and temporal resolution than other methods, but they face difficulties while converting the results of indirect measurements into absolute levels of the…

Atmospheric and Oceanic Physics · Physics 2015-12-15 Boris M. Salin , Mikhail B. Salin

Computational ghost imaging retrieves the spatial information of a scene using a single pixel detector. By projecting a series of known random patterns and measuring the back reflected intensity for each one, it is possible to reconstruct a…

Reflective membrane mirrors provide a lightweight, low-cost alternative to traditional optics for next-generation large-aperture telescopes, but their non-rigid, thin structure poses challenges for surface metrology. We present a…

Instrumentation and Methods for Astrophysics · Physics 2025-11-17 Xin Yan , Zhi-Kang Zhuang , Fu-Jia Du , Wen Duan , Peilin Yin , Mo-Nong Yu , Guang Yang

Quantitative phase imaging (QPI) is important in many applications such as microscopy and crystallography. To quantitatively reveal phase information, people could either employ interference to map phase distribution into intensity fringes,…

Optics · Physics 2020-11-11 Xianye Li , Yafei sun , Yikang He , Xun Li , Baoqing Sun

Three-dimensional (3D) object reconstruction based on differentiable rendering (DR) is an active research topic in computer vision. DR-based methods minimize the difference between the rendered and target images by optimizing both the shape…

Computer Vision and Pattern Recognition · Computer Science 2022-11-23 Chunyu Li , Taisuke Hashimoto , Eiichi Matsumoto , Hiroharu Kato

Spatial filtering is a commonly deployed technique to improve the quality of laser beams by optically filtering the noise. In the "textbook" example, the noise is usually assumed to be high frequency and the laser beam, Gaussian. In this…

Optics · Physics 2021-02-03 Jonathan Pinnell , Asher Klug , Andrew Forbes