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Comparing spherical probability distributions is of great interest in various fields, including geology, medical domains, computer vision, and deep representation learning. The utility of optimal transport-based distances, such as the…

Machine Learning · Computer Science 2024-06-11 Huy Tran , Yikun Bai , Abihith Kothapalli , Ashkan Shahbazi , Xinran Liu , Rocio Diaz Martin , Soheil Kolouri

Accurate and reliable 3D object detection is vital to safe autonomous driving. Despite recent developments, the performance gap between stereo-based methods and LiDAR-based methods is still considerable. Accurate depth estimation is crucial…

Computer Vision and Pattern Recognition · Computer Science 2020-03-13 Chengyao Li , Jason Ku , Steven L. Waslander

Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs. Nowadays, most of the best-performing frameworks for stereo 3D object…

Computer Vision and Pattern Recognition · Computer Science 2021-03-18 Yuxuan Liu , Lujia Wang , Ming Liu

Relativistic length contraction is revisited and a simple but new thought experiment is proposed in which an apparent asymmetric situation is developed between two different inertial frames regarding detection of light that comes from a…

Classical Physics · Physics 2021-11-02 Biplab Raychaudhuri , Souvik Ghose , Arunabha Bhadra

Stereo vision techniques have been widely used in civil engineering to acquire 3-D road data. The two important factors of stereo vision are accuracy and speed. However, it is very challenging to achieve both of them simultaneously and…

Computer Vision and Pattern Recognition · Computer Science 2018-08-30 Rui Fan , Yanan Liu , Xingrui Yang , Mohammud Junaid Bocus , Naim Dahnoun , Scott Tancock

The Procrustes distance is used to quantify the similarity or dissimilarity of (3-dimensional) shapes, and extensively used in biological morphometrics. Typically each (normalized) shape is represented by N landmark points, chosen to be…

Differential Geometry · Mathematics 2011-06-28 Yaron Lipman Reema Al-Aifari Ingrid Daubechies

Photometric Stereo methods seek to reconstruct the 3d shape of an object from motionless images obtained with varying illumination. Most existing methods solve a restricted problem where the physical reflectance model, such as Lambertian…

Computer Vision and Pattern Recognition · Computer Science 2021-10-06 Ofer Bartal , Nati Ofir , Yaron Lipman , Ronen Basri

Stereo matching is an essential basis for various applications, but most stereo matching methods have poor generalization performance and require a fixed disparity search range. Moreover, current stereo matching methods focus on the scenes…

Computer Vision and Pattern Recognition · Computer Science 2022-05-11 Jiazhi Liu , Feng Liu

Real-world stereo image super-resolution has a significant influence on enhancing the performance of computer vision systems. Although existing methods for single-image super-resolution can be applied to improve stereo images, these methods…

Image and Video Processing · Electrical Eng. & Systems 2023-12-14 Yuanbo Zhou , Yuyang Xue , Jiang Bi , Wenlin He , Xinlin Zhang , Jiajun Zhang , Wei Deng , Ruofeng Nie , Junlin Lan , Qinquan Gao , Tong Tong

Pseudoscopic images that keep the continuous parallax are shown to be possible due to a double diffraction process intermediated by a slit. One diffraction grating acts as a wavelength encoder of views while a second diffraction grating…

Optics · Physics 2015-06-26 Jose J. Lunazzi , Noemi I. Rivera

Purpose: To present a new fast and reliable application for iPad (ST) for screening stereopsis at multiple distances. Methods: A new iPad application (app) based on a random dot stereogram was designed for screening stereopsis at multiple…

Computer Vision and Pattern Recognition · Computer Science 2016-09-22 Manuel Rodriguez-Vallejo , Clara Llorens-Quintana , Diego Montagud , Walter D. Furlan , Juan A. Monsoriu

This paper presents the first attempt at stereoscopic neural style transfer, which responds to the emerging demand for 3D movies or AR/VR. We start with a careful examination of applying existing monocular style transfer methods to left and…

Computer Vision and Pattern Recognition · Computer Science 2018-05-22 Dongdong Chen , Lu Yuan , Jing Liao , Nenghai Yu , Gang Hua

Recent video depth estimation methods achieve great performance by following the paradigm of image depth estimation, i.e., typically fine-tuning pre-trained video diffusion models with massive data. However, we argue that video depth…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Haodong Li , Chen Wang , Jiahui Lei , Kostas Daniilidis , Lingjie Liu

Geometrical illusions are a subclass of optical illusions in which the geometrical characteristics of patterns such as orientations and angles are distorted and misperceived as the result of low- to high-level retinal/cortical processing.…

Computer Vision and Pattern Recognition · Computer Science 2017-10-04 Nasim Nematzadeh , David M. W. Powers

Obtaining accurate depth measurements out of a single image represents a fascinating solution to 3D sensing. CNNs led to considerable improvements in this field, and recent trends replaced the need for ground-truth labels with…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Matteo Poggi , Fabio Tosi , Stefano Mattoccia

Accurate stereo depth estimation plays a critical role in various 3D tasks in both indoor and outdoor environments. Recently, learning-based multi-view stereo methods have demonstrated competitive performance with a limited number of views.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-02 Uday Kusupati , Shuo Cheng , Rui Chen , Hao Su

Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human…

Computer Vision and Pattern Recognition · Computer Science 2023-10-26 Robert Kerschner , Rakesh John Amala Arokia Nathan , Rafal Mantiuk , Oliver Bimber

Errors in the kinematic distances, under the assumption of circular gas orbits, were estimated by performing synthetic observations of a model disk galaxy. It was found that the error is < 0.5 kpc for most of the disk when the measured…

Astrophysics · Physics 2008-11-26 Gilberto C. Gomez

We have performed the most realistic simulation to date of the operation of a scanning tunneling microscope. Probe-sample distances from beyond tunneling to actual surface contact are covered. We simultaneously calculate forces, atomic…

Materials Science · Physics 2009-11-07 W. A. Hofer , A. J. Fisher , R. A. Wolkow , P. Gruetter

We propose a novel stereo-confidence that can be measured externally to various stereo-matching networks, offering an alternative input modality choice of the cost volume for learning-based approaches, especially in safety-critical systems.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-24 Jae Young Lee , Woonghyun Ka , Jaehyun Choi , Junmo Kim