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Recent advances in implicit neural representations and differentiable rendering make it possible to simultaneously recover the geometry and materials of an object from multi-view RGB images captured under unknown static illumination.…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Yuanqing Zhang , Jiaming Sun , Xingyi He , Huan Fu , Rongfei Jia , Xiaowei Zhou

We develop an approach for active semantic perception which refers to using the semantics of the scene for tasks such as exploration. We build a compact, hierarchical multi-layer scene graph that can represent large, complex indoor…

Robotics · Computer Science 2025-10-08 Huayi Tang , Pratik Chaudhari

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…

The nature of light-induced structures in attosecond transient absorption spectroscopy of molecular systems is investigated theoretically. It is shown how nuclear dynamics affect these structures. We find that a theoretical three-surface…

Atomic Physics · Physics 2015-08-19 Jens E. Bækhøj , Lars Bojer Madsen

Light plays a vital role in vision either human or machine vision, the perceived color is always based on the lighting conditions of the surroundings. Researchers are working to enhance the color detection techniques for the application of…

Computer Vision and Pattern Recognition · Computer Science 2024-02-08 Nizamuddin Maitlo , Nooruddin Noonari , Sajid Ahmed Ghanghro , Sathishkumar Duraisamy , Fayaz Ahmed

In this paper we present a new camera calibration method aimed at finding a straight-line locus, in a special colour feature space, that is traversed by daylights and as well also approximately followed by specular points. The aim of the…

Computer Vision and Pattern Recognition · Computer Science 2017-12-14 Mark S. Drew , Hamid Reza Vaezi Joze , Graham D. Finlayson

We propose a general theoretical scheme for the investigation of light emitted from nano- and micrometric structures of arbitrary shape and composition. More specifically, the proposed fully three-dimensional approach allows to derive the…

Materials Science · Physics 2009-11-07 M. Pieruccini , S. Savasta , R. Girlanda , R. Iotti , F. Rossi

The Doppler effect of light was implemented by interference with a reference wave to infer linear velocities in early manifestations, and more recently lateral and angular velocities with scalar phase structured light. A consequence of the…

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

This paper presents a process for estimating the spatially varying surface reflectance of complex scenes observed under natural illumination. In contrast to previous methods, our process is not limited to scenes viewed under controlled…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Alen Joy , Charalambos Poullis

Advances in multimodal characterization methods fuel a generation of increasing immense hyper-dimensional datasets. Color mapping is employed for conveying higher dimensional data in two-dimensional (2D) representations for human…

Human-Computer Interaction · Computer Science 2020-02-28 M. J. Waters , J. M. Walker , C. T. Nelson , D. Joester , J. M. Rondinelli

Recently a scheme has been proposed for detection of the structured light by measuring the transmission of a vortex beam through a cloud of cold rubidium atoms with energy levels of the $\Lambda$-type configuration {[}N. Radwell et al.,…

We present a learning-based method for estimating 4D reflectance field of a person given video footage illuminated under a flat-lit environment of the same subject. For training data, we use one light at a time to illuminate the subject and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Loc Huynh , Bipin Kishore , Paul Debevec

Because of the diversity in lighting environments, existing illumination estimation techniques have been designed explicitly on indoor or outdoor environments. Methods have focused specifically on capturing accurate energy (e.g., through…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Mohammad Reza Karimi Dastjerdi , Jonathan Eisenmann , Yannick Hold-Geoffroy , Jean-François Lalonde

The ability to see around corners, i.e., recover details of a hidden scene from its reflections in the surrounding environment, is of considerable interest in a wide range of applications. However, the diffuse nature of light reflected from…

We propose a method for depth estimation under different illumination conditions, i.e., day and night time. As photometry is uninformative in regions under low-illumination, we tackle the problem through a multi-sensor fusion approach,…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Vadim Ezhov , Hyoungseob Park , Zhaoyang Zhang , Rishi Upadhyay , Howard Zhang , Chethan Chinder Chandrappa , Achuta Kadambi , Yunhao Ba , Julie Dorsey , Alex Wong

Inspired by the recent advances in implicitly representing signals with trained neural networks, we aim to learn a continuous representation for narrow-baseline 4D light fields. We propose an implicit representation model for 4D light…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Paramanand Chandramouli , Hendrik Sommerhoff , Andreas Kolb

Control over the amplitude, phase, and spatial distribution of visible-spectrum light underlies many technologies, but commercial solutions remain bulky, require high control power, and are often too slow. Active integrated photonics for…

In Chinese building codes, it is required that residential buildings receive a minimum number of hours of natural, direct sunlight on a specified winter day, which represents the worst sunlight condition in a year. This requirement is a…

Machine Learning · Computer Science 2023-08-22 Can Jiang , Xiong Liang , Yu-Cheng Zhou , Yong Tian , Shengli Xu , Jia-Rui Lin , Zhiliang Ma , Shiji Yang , Hao Zhou

Speckle patterns are inherent features of coherent light propagation through complex media. As a result of interference, they are sensitive to multiple experimental parameters such as the configuration of disorder or the propagating…

We study the problem of deblurring light fields of general 3D scenes captured under 3D camera motion and present both theoretical and practical contributions. By analyzing the motion-blurred light field in the primal and Fourier domains, we…

Computer Vision and Pattern Recognition · Computer Science 2017-04-19 Pratul P. Srinivasan , Ren Ng , Ravi Ramamoorthi
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