This paper introduces a new generic model for a stereovision system composed of a perspective camera and a panoramic camera or of two panoramic cameras. We present a new simple model in order to establish matching images and to formulate 3D reconstruction. Indeed, we show that composed cubic splines functions are suitable for conventional and wide-angle cameras and accurately model tangential and radial distortions. Matching is greatly simplified using this technique, and classical methods can be used to evaluate the relationship between image pairs and to achieve 3D reconstruction. Such a technique allows us to model complex forms of distortions, as in the case for panomorph lenses.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1364/AO.54.006534 | DOI Listing |
Int J Rob Res
January 2025
Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, Toronto, ON, Canada.
The York University Teledyne Optech (YUTO) Mobile Mapping System (MMS) Dataset, encompassing four sequences totaling 20.1 km, was thoroughly assembled through two data collection expeditions on August 12, 2020, and June 21, 2019. Acquisitions were performed using a uniquely equipped vehicle, fortified with a panoramic camera, a tilted LiDAR, a Global Positioning System (GPS), and an Inertial Measurement Unit (IMU), journeying through two strategic locations: the York University Keele Campus in Toronto and the Teledyne Optech headquarters in City of Vaughan, Canada.
View Article and Find Full Text PDFNanophotonics
July 2024
School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.
Sensors (Basel)
November 2024
Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan.
Integrating multiple types of sensors into autonomous systems, such as cars and robots, has become a widely adopted approach in modern technology. Among these sensors, RGB cameras, thermal cameras, and LiDAR are particularly valued for their ability to provide comprehensive environmental data. However, despite their advantages, current research primarily focuses on the one or combination of two sensors at a time.
View Article and Find Full Text PDFSci Rep
October 2024
Faculty of Technology, Bielefeld University, 33615, Bielefeld, Germany.
Camera-based relative pose estimation (RPE) localizes a mobile robot given a view at the current position and an image at a reference location. Matching the landmarks between views is critical to localization quality. Common challenges are appearance changes, for example due to differing illumination.
View Article and Find Full Text PDFThis article presents a dental dataset for the improvement of research on deep learning-based detection and classification of dental diseases. The dataset is consisted of 232 panoramic dental radiographs, categorized into six major classes: healthy teeth, caries, impacted teeth, infections, fractured teeth, and broken-down crowns/roots (BDC/BDR). The images were collected from three renowned private clinics in Dhaka, Bangladesh, with the help of an experienced dental practitioner who ensured the confidentiality of patients and high-quality data acquisition using a 64-megapixel Android phone camera.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!