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Image segmentation and image recognition are well established computational techniques in the broader discipline of image processing. Segmentation allows to locate areas in an image, while recognition identifies specific objects within an…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Carlos Monroy , Benjamin Navarro

The photorealistic reconstruction and rendering of architectural scenes have extensive applications in industries such as film, games, and transportation. It also plays an important role in urban planning, architectural design, and the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Ruizhe Wang , Chunliang Hua , Tomakayev Shingys , Mengyuan Niu , Qingxin Yang , Lizhong Gao , Yi Zheng , Junyan Yang , Qiao Wang

Recovering the radiometric properties of a scene (i.e., the reflectance, illumination, and geometry) is a long-sought ability of computer vision that can provide invaluable information for a wide range of applications. Deciphering the…

Computer Vision and Pattern Recognition · Computer Science 2016-04-06 Stephen Lombardi , Ko Nishino

Correcting scan-positional errors is critical in achieving electron ptychography with both high resolution and high precision. This is a demanding and challenging task due to the sheer number of parameters that need to be optimized. For…

Other Condensed Matter · Physics 2022-11-08 Shoucong Ning , Wenhui Xu , Leyi Loh , Zhen Lu , Michel Bosman , Fucai Zhang , Qian He

This article introduces an artistic research project that utilises artist-in-residency and exhibition as methods for exploring the possibilities of robotic 3D printing and ceramics. The interdisciplinary project unites artists and…

Robotics · Computer Science 2024-10-07 Varvara Guljajeva , Mar Canet Sola , Martin Melioranski , Lauri Kilusk , Kaiko Kivi

Integration of aerial and ground images has been proved as an efficient approach to enhance the surface reconstruction in urban environments. However, as the first step, the feature point matching between aerial and ground images is…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Qing Zhu , Zhendong Wang , Han Hu , Linfu Xie , Xuming Ge , Yeting Zhang

X-ray ptychography is one of the versatile techniques for nanometer resolution imaging. The magnitude of the diffraction patterns is recorded on a detector and the phase of the diffraction patterns is estimated using phase retrieval…

Image and Video Processing · Electrical Eng. & Systems 2021-05-21 Prasan Shedligeri , Florian Schiffers , Semih Barutcu , Pablo Ruiz , Aggelos K Katsaggelos , Oliver Cossairt

The challenge of image-based 3D reconstruction for glossy objects lies in separating diffuse and specular components on glossy surfaces from captured images, a task complicated by the ambiguity in discerning lighting conditions and material…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Bojian Wu , Yifan Peng , Ruizhen Hu , Xiaowei Zhou

Mechanical properties in crystals are strongly correlated to the arrangement of 1D line defects, termed dislocations. Recently, Dark field X-ray Microscopy (DFXM) has emerged as a new tool to image and interpret dislocations within crystals…

Materials Science · Physics 2026-01-13 Pin-Hua Huang , Ryan Coffee , Leora Dresselhaus-Marais

3D reconstruction from a single-RGB image in unconstrained real-world scenarios presents numerous challenges due to the inherent diversity and complexity of objects and environments. In this paper, we introduce Anything-3D, a methodical…

Computer Vision and Pattern Recognition · Computer Science 2023-04-21 Qiuhong Shen , Xingyi Yang , Xinchao Wang

Purpose: To develop a general phase regularized image reconstruction method, with applications to partial Fourier imaging, water-fat imaging and flow imaging. Theory and Methods: The problem of enforcing phase constraints in reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2017-09-26 Frank Ong , Joseph Cheng , Michael Lustig

Purpose: This study extends the Fast ROtary Nonlinear Spatial ACquisition (FRONSAC) method to include 3D acquisitions and reconstructions. It also presents a transform domain reconstruction that makes 3D reconstructions practical and…

Medical Physics · Physics 2021-11-10 Yanitza Rodriguez , Nahla M. H. Elsaid , Boris Keil , Gigi Galiana

In this paper we address the challenges of documenting early digital artifacts in collections built to offer historical context for future generations. Through insights from active community members (N=20), we examine current archival needs…

Human-Computer Interaction · Computer Science 2025-01-27 Maciej Grzeszczuk , Kinga Skorupska , Grzegorz Marcin Wojcik

Archaeological pottery documentation and study represents a crucial but time-consuming aspect of archaeology. While recent years have seen advances in digital documentation methods, vast amounts of legacy data remain locked in traditional…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Lorenzo Cardarelli

A major limitation of two-dimensional scanning electron microscopy (SEM) in imaging porous membranes is its inability to resolve three-dimensional pore architecture and interconnectivity, which are critical factors governing membrane…

Modern archaeological methods increasingly utilize 3D virtual representations of objects, computationally intensive analyses, high resolution scanning, large datasets, and machine learning. With higher resolution scans, challenges…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Riley C. W. O'Neill , Katrina Yezzi-Woodley , Jeff Calder , Peter J. Olver

In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts. Firstly, a topographic surface of an input digitized document is created using luminance value of each pixel.…

Computer Vision and Pattern Recognition · Computer Science 2019-05-06 Seungjun Jung , Muhammad Abul Hasan , Changick Kim

Computed tomography (CT) metal artifact reduction (MAR) aims to reduce the severe streaking artifacts induced by metallic implants and other high-density objects. Effective MAR generally requires both accurate artifact localization and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Zilong Li , Chenglong Ma , Yiming Lei , Yuanlin Li , Jing Han , Jiannan Liu , Huidong Xie , Junping Zhang , Yi Zhang , Hongming Shan

Classification of ceramic thin sections is fundamental for understanding ancient pottery production techniques, provenance, and trade networks. Although effective, traditional petrographic analysis is time-consuming. This study explores the…

Computational Engineering, Finance, and Science · Computer Science 2025-06-17 Sara Capriotti , Alessio Devoto , Simone Scardapane , Silvano Mignardi , Laura Medeghini

Despite impressive results from recent text-to-image models like FLUX, visual and anatomical artifacts remain a significant hurdle for practical and professional use. Existing methods for artifact reduction, typically work in a post-hoc…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Alicja Polowczyk , Agnieszka Polowczyk , Piotr Borycki , Joanna Waczyńska , Jacek Tabor , Przemysław Spurek