Results 111 to 120 of about 26,934 (278)

Monocular Unsupervised Depth Estimation of Residual Stratification Based on Ordinal Relation Networks

IET Image Processing, Volume 20, Issue 1, January/December 2026.
ABSTRACT Depth estimation has been widely applied in the field of computer vision, primarily using unsupervised deep neural networks, which often rely on deeper neural networks. However, the addition of layers can result in slower convergence and suboptimal performance.
Ye Kuang, Xiaoyan Jiang, Yongbin Gao
wiley   +1 more source

Verification of Photometric Parallaxes with Gaia DR2 Data

Galaxies, 2018
Results of comparison of Gaia DR2 parallaxes with data derived from a combined analysis of 2MASS (Two Micron All-Sky Survey), SDSS (Sloan Digital Sky Survey), GALEX (Galaxy Evolution Explorer), and UKIDSS (UKIRT Infrared Deep Sky Survey) surveys in four ...
Oleg Malkov, Sergey Karpov, Dana Kovaleva, Sergey Sichevsky, Dmitry Chulkov, Olga Dluzhnevskaya, Alexey Kniazev, Areg Mickaelian, Alexey Mironov, Jayant Murthy, Alexey Sytov, Gang Zhao, Aleksandr Zhukov   +12 more
doaj   +1 more source

Combining Spitzer Parallax and Keck II Adaptive Optics Imaging to Measure the Mass of a Solar-like Star Orbited by a Cold Gaseous Planet Discovered by Microlensing [PDF]

, 2018
J.-P. Beaulieu, V. Batista, D. P. Bennett, J.-B. Marquette, J. W. Blackman, A. A. Cole, C. Coutures, C. Danielski, D. Dominis Prester, J. Donatowicz, A. Fukui, N. Koshimoto, K. Lončarić, J. C. Morales, T. Sumi, D. Suzuki, C. Henderson, Y. Shvartzvald, C. Beichman   +18 more
openalex   +1 more source

Relative Importance of Binocular Disparity and Motion Parallax for Depth Estimation: A Computer Vision Approach

Remote Sensing, 2019
Binocular disparity and motion parallax are the most important cues for depth estimation in human and computer vision. Here, we present an experimental study to evaluate the accuracy of these two cues in depth estimation to stationary objects in a static
M. Mansour, P. Davidson, O. Stepanov, R. Piché   +3 more
semanticscholar   +1 more source

Factors impacting the complexity of the leporid intracranial joint

Journal of Anatomy, Volume 248, Issue 1, Page 28-39, January 2026.
Anatomy of the intracranial joint and the 2D semi‐landmarks used to capture complexity in the intracranial joint. (a) The intracranial joint can be seen here (in red) between the parietal and occipital dorsally and the basioccipital and basisphenoid ventrally. In hares (as in this figure) the interparietals are fused to obliteration.
Amber P. Wood‐Bailey, Heather E. White, Samuel R. R. Cross, Nathan S. Jeffery, Philip G. Cox, Alana C. Sharp   +5 more
wiley   +1 more source

Motion parallax in the perception of movement by a moving subject [PDF]

, 1980
Felix E. Goodson, Tracy Q. Snider, James E. Swearingen   +2 more
openalex   +1 more source

An Ongoing OGLE Parallax Microlensing Event Toward Carina [PDF]

, 1999
Shude Mao
openalex   +1 more source

Commission 34. (Solar Parallax.) [PDF]

, 1936
Spencer Jones, Frederick Slocum
openalex   +1 more source

Motion parallax via head movements modulates visuo-motor control in pigeons [PDF]

, 2021
Yuya Hataji, Hika Kuroshima, Kazuo Fujita   +2 more
openalex   +1 more source

Wide Parallax Image Stitching With Balanced Alignment-Naturalness

IEEE Access
Parallax is a crucial factor that affects the quality of image stitching, particularly in complex scene images with wide camera baselines. Achieving precise alignment while maintaining natural visual aesthetics is a challenging task.
Tao Song, Qian Li, Peiguo Hou, Ning Li, Wenhao Liu, Zeheng Xia   +5 more
doaj   +1 more source