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Accurate and fast 3D imaging of specular surfaces still poses major challenges for state-of-the-art optical measurement principles. Frequently used methods, such as phase-measuring deflectometry (PMD) or shape-from-polarization (SfP), rely…

Computer Vision and Pattern Recognition · Computer Science 2024-06-05 Jiazhang Wang , Oliver Cossairt , Florian Willomitzer

Photothermal microscopy is an emerging tool for measuring light-matter interactions with single-molecule sensitivity. It is generally believed that the spectral acquisition speed in photothermal microscopy is limited by the slow thermal…

The implementation of a Structure-from-Motion (SfM) pipeline from a synthetically generated scene as well as the investigation of the faithfulness of diverse reconstructions is the subject of this project. A series of different SfM…

Computer Vision and Pattern Recognition · Computer Science 2017-10-04 Martin Hahner , Orestis Varesis , Panagiotis Bountouris

Representing scenes from multi-view images is a crucial task in computer vision with extensive applications. However, inherent photometric distortions in the camera imaging can significantly degrade image quality. Without accounting for…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Weichen Dai , Kangcheng Ma , Jiaxin Wang , Kecen Pan , Yuhang Ming , Hua Zhang , Wanzeng Kong

Modern high-resolution satellite sensors collect optical imagery with ground sampling distances (GSDs) of 30-50cm, which has sparked a renewed interest in photogrammetric 3D surface reconstruction from satellite data. State-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2020-05-14 Mathias Rothermel , Ke Gong , Dieter Fritsch , Konrad Schindler , Norbert Haala

Although Structure-from-Motion (SfM) as a maturing technique has been widely used in many applications, state-of-the-art SfM algorithms are still not robust enough in certain situations. For example, images for inspection purposes are often…

Robotics · Computer Science 2019-11-11 Weikun Zhen , Yaoyu Hu , Huai Yu , Sebastian Scherer

Infrared (IR) image segmentation is essential in many urban defence applications, such as pedestrian surveillance, vehicle counting, security monitoring, etc. Active contour model (ACM) is one of the most widely used image segmentation…

Computer Vision and Pattern Recognition · Computer Science 2020-11-26 Qinyan Huang , Weiwen Zhou , Minjie Wan , Xin Chen , Qian Chen , Guohua Gu

Structure-from-Motion approaches could be broadly divided into two classes: incremental and global. While incremental manner is robust to outliers, it suffers from error accumulation and heavy computation load. The global manner has the…

Computer Vision and Pattern Recognition · Computer Science 2018-03-26 Hainan Cui , Shuhan Shen , Xiang Gao , Zhanyi Hu

The development of single-photon counting detectors and arrays has made tremendous steps in recent years, not the least because of various new applications in, e.g., LIDAR devices. In this work, a 3D imaging device based on real thermal…

Multi-exposure image fusion is a method for producing an image with a wide dynamic range by fusing multiple images taken under various exposure values. In this paper, we discuss color distortion included in fused images, and propose a novel…

Image and Video Processing · Electrical Eng. & Systems 2019-07-29 Artit Visavakitcharoen , Yuma Kinoshita , Hitoshi Kiya

Structure-from-motion (SfM) is a long-standing problem in the computer vision community, which aims to reconstruct the camera poses and 3D structure of a scene from a set of unconstrained 2D images. Classical frameworks solve this problem…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Jianyuan Wang , Nikita Karaev , Christian Rupprecht , David Novotny

Visible images have been widely used for motion estimation. Thermal images, in contrast, are more challenging to be used in motion estimation since they typically have lower resolution, less texture, and more noise. In this paper, a novel…

Computer Vision and Pattern Recognition · Computer Science 2021-05-18 Weichen Dai , Yu Zhang , Shenzhou Chen , Donglei Sun , Da Kong

Utility-scale solar arrays require specialized inspection methods for detecting faulty panels. Photovoltaic (PV) panel faults caused by weather, ground leakage, circuit issues, temperature, environment, age, and other damage can take many…

Image and Video Processing · Electrical Eng. & Systems 2024-07-02 David F. Ramirez , Deep Pujara , Cihan Tepedelenlioglu , Devarajan Srinivasan , Andreas Spanias

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

The spectral numerical mode-matching (SNMM) method is developed to simulate the 3D layered multi-region structures. The SNMM method is a semi-analytical solver having the properties of dimensionality reduction to reduce computational costs;…

Optics · Physics 2019-07-10 Jie Liu , Na Liu , Qing Huo Liu

We are working towards 3D reconstruction of indoor spaces using a pair of HDR cameras in a stereo vision configuration mounted on an indoor mobile floor robot that captures various textures and spatial features as 2D images and this data is…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Kshitij Karnawat , Hritvik Choudhari , Abhimanyu Saxena , Mudit Singal , Raajith Gadam

We present Dense-SfM, a novel Structure from Motion (SfM) framework designed for dense and accurate 3D reconstruction from multi-view images. Sparse keypoint matching, which traditional SfM methods often rely on, limits both accuracy and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-29 JongMin Lee , Sungjoo Yoo

Structure-from-Motion (SfM) is the task of estimating 3D structure and camera poses from images. We define Collaborative SfM (ColabSfM) as sharing distributed SfM reconstructions. Sharing maps requires estimating a joint reference frame,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Johan Edstedt , André Mateus , Alberto Jaenal

To measure low-temperature thermal fields, we have developed a single-element cooled thermal imaging camera for a spectral range of 8{\div}14 {\mu}m with an internal shutter for radiometric calibration. To improve the accuracy of measuring…

Instrumentation and Detectors · Physics 2024-08-30 E. Gordiyenko , Yu. Fomenko , G. Shustakova , G. Kovalov , S. Shevchenko

Multi-spectral sensors consisting of a standard (visible-light) camera and a long-wave infrared camera can simultaneously provide both visible and thermal images. Since thermal images are independent from environmental illumination, they…

Computer Vision and Pattern Recognition · Computer Science 2019-08-26 Weichen Dai , Yu Zhang , Donglei Sun , Naira Hovakimyan , Ping Li