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Reconstructing 3D scenes from multiple views has made impressive strides in recent years, chiefly by correlating isolated feature points, intensity patterns, or curvilinear structures. In the general setting - without controlled…

Computer Vision and Pattern Recognition · Computer Science 2016-09-20 Anil Usumezbas , Ricardo Fabbri , Benjamin B. Kimia

The evolution of RHEED reflexes intensity during reconstructed transitions characterizes (often implicitly) reconstructed surface state peculiarities. The approaches of a correct RHEED data interpretation, aimed at obtaining information…

Materials Science · Physics 2017-12-18 A. V. Vasev , M. A. Putyato , V. V. Preobrazhenskii

Motivated by a recent observation on the self-organized criticality of cumulus clouds (Phys. Rev E 103, 052106, 2021) we study their connection to self-similar rough surfaces, in which $f\equiv \log I$ plays the role of the main field,…

Statistical Mechanics · Physics 2022-05-02 J. Cheraghalizadeh , S. Tizdast , H. Mohammadzade , M. N. Najafi

Point cloud data represents a crucial category of information for mathematical modeling, and surface reconstruction from such data is an important task across various disciplines. However, during the scanning process, the collected point…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Hao Liu

High-resolution satellite images are often scarce and costly, especially for remote areas or infrequent events. This shortage hampers the development and testing of machine learning models for land-cover classification, change detection,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Vlad Vasilescu , Daniela Faur , Teodor Costachioiu

Recently it was shown that self-organized criticality is an important ingredient of the dynamics of cumulus clouds (Physical Review E, 103(5), p.052106, 2021). Here we introduce a new algorithm to simulate cumulus clouds in two-dimensional…

Statistical Mechanics · Physics 2022-12-07 J. Cheraghalizadeh , M. Luković , M. N. Najafi

Usual approaches for image recoloring, such as local filtering by transfer functions and global histogram remapping, lack of accurate control or miss small groups of important pixels. In this paper, we introduce a triangle-based structuring…

Graphics · Computer Science 2019-12-17 Baptiste Delos , Nicolas Mellado , David Vanderhaeghe , Remi Cozot

Holography is 3D imaging which can record intensity and phase at the same time. The importance of construct hologram is holographic recording and wavefront reconstruction. It is surprised that holography be discovered in study interstellar…

Astrophysics · Physics 2009-11-02 Jiang Dong

Real-time light detection and ranging (LiDAR) perceptions, e.g., 3D object detection and simultaneous localization and mapping are computationally intensive to mobile devices of limited resources and often offloaded on the edge. Offloading…

Computer Vision and Pattern Recognition · Computer Science 2023-09-12 Jin Heo , Gregorie Phillips , Per-Erik Brodin , Ada Gavrilovska

This paper is the first in a series devoted to the hard X-ray whole sky survey performed by the INTEGRAL observatory over seven years. Here we present an improved method for image reconstruction with the IBIS coded mask telescope. The main…

Instrumentation and Methods for Astrophysics · Physics 2015-05-19 R. Krivonos , M. Revnivtsev , S. Tsygankov , S. Sazonov , A. Vikhlinin , M. Pavlinsky , E. Churazov , R. Sunyaev

This paper concerns the reconstruction of a diffusion coefficient in an elliptic equation from knowledge of several power densities. The power density is the product of the diffusion coefficient with the square of the modulus of the…

Analysis of PDEs · Mathematics 2012-03-07 Guillaume Bal , Eric Bonnetier , Francois Monard , Faouzi Triki

Computer-Aided Design is ubiquitous in todays world, as almost every manufactured object begins as a digital model across industries. At the same time, advances in 3D sensing have made point clouds a dominant form of raw 3D data. Recovering…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Said Harb , Mehdi Maboudi , Markus Gerke

Three-dimensional (3D) urban models have gained interest because of their applications in many use-cases such as urban planning and virtual reality. However, generating these 3D representations requires LiDAR data, which are not always…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Yoones Rezaei , Stephen Lee

We consider the two dimensional quantitative imaging problem of recovering a radiative source inside an absorbing and scattering medium from knowledge of the outgoing radiation measured at the boundary. The medium has an anisotropic…

Numerical Analysis · Mathematics 2021-01-21 Hiroshi Fujiwara , Kamran Sadiq , Alexandru Tamasan

Video diffusion models generate high-quality and diverse worlds; however, individual frames often lack 3D consistency across the output sequence, which makes the reconstruction of 3D worlds difficult. To this end, we propose a new method…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Lukas Höllein , Matthias Nießner

We have constructed three-dimensional models for the equilibrium abundance of molecular hydrogen within diffuse interstellar clouds of arbitrary geometry that are illuminated by ultraviolet radiation. The position-dependent photo-…

Astrophysics · Physics 2009-10-30 Marco Spaans , David A. Neufeld

Electron tomography is becoming an increasingly important tool in materials science for studying the three-dimensional morphologies and chemical compositions of nanostructures. The image quality obtained by many current algorithms is…

Building models are conventionally reconstructed by building roof points planar segmentation and then using a topology graph to group the planes together. Roof edges and vertices are then mathematically represented by intersecting segmented…

Computer Vision and Pattern Recognition · Computer Science 2020-10-16 Zhixin Li , Wenyuan Zhang , Jie Shan

A radiance field is an effective representation of 3D scenes, which has been widely adopted in novel-view synthesis and 3D reconstruction. It is still an open and challenging problem to evaluate the geometry, i.e., the density field, as the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Qihang Fang , Yafei Song , Keqiang Li , Li Shen , Huaiyu Wu , Gang Xiong , Liefeng Bo

Climate studies often rely on remotely sensed images to retrieve two-dimensional maps of cloud properties. To advance volumetric analysis, we focus on recovering the three-dimensional (3D) heterogeneous extinction coefficient field of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Tamar Klein , Tom Aizenberg , Roi Ronen