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200 papers

Shadows encode rich information about scene geometry and illumination, yet existing methods either predict a unified shadow mask or overlook attached shadows entirely. We address this gap by proposing a framework for jointly detecting cast…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Shilin Hu , Jingyi Xu , Sagnik Das , Dimitris Samaras , Hieu Le

By analyzing the motion of people and other objects in a scene, we demonstrate how to infer depth, occlusion, lighting, and shadow information from video taken from a single camera viewpoint. This information is then used to composite new…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Yifan Wang , Brian Curless , Steve Seitz

Due to the accuracy now reached by space geodetic techniques, and also considering some modelisations, the temporal variations of some Earth Gravity Field coefficients can be determined. They are due to Earth oceanic and solid tides, as…

Astrophysics · Physics 2007-11-29 G. Bourda , N. Capitaine

Some active stars show a so-called flip-flop phenomenon in which the main spot activity periodically switches between two active longitudes that are 180 degrees apart. In this paper we study the flip-flop phenomenon by converting results…

Astrophysics · Physics 2009-11-11 H. Korhonen , D. Elstner

The equation of time is fundamental for calculating the rising and setting times of the Sun. The concepts of sidereal and solar day and locak noon, we show how the length of the day depends on solar declination and Earth's orbit position,…

Instrumentation and Methods for Astrophysics · Physics 2012-11-13 Costantino Sigismondi

We propose a LSST Solar System near-Sun Survey, to be implemented during twilight hours, that extends the seasonal reach of LSST to its maximum as fresh sky is uncovered at about 50 square degrees per night (1500 sq. deg. per lunation) in…

This paper presents a novel method of foreground segmentation that distinguishes moving objects from their moving cast shadows in monocular image sequences. The models of background, edge information, and shadow are set up and adaptively…

Computer Vision and Pattern Recognition · Computer Science 2013-01-07 Yang Wang , Tele Tan

Self-supervised deep learning methods for joint depth and ego-motion estimation can yield accurate trajectories without needing ground-truth training data. However, as they typically use photometric losses, their performance can degrade…

Computer Vision and Pattern Recognition · Computer Science 2022-06-29 Madhu Vankadari , Stuart Golodetz , Sourav Garg , Sangyun Shin , Andrew Markham , Niki Trigoni

We investigate the complex interactions between the stellar disc and the dark-matter halo during bar formation and evolution using N-body simulations with fine temporal resolution and optimally chosen spatial resolution. We find that the…

Astrophysics of Galaxies · Physics 2016-10-17 Michael S. Petersen , Martin D. Weinberg , Neal Katz

In order to perform high resolution astrometry of the solar diameter from the ground, through the observations of eclipses, the study of the limb darkening profile is described. Knowing the profile of the solar limb is useful both to…

Solar and Stellar Astrophysics · Physics 2015-06-03 Andrea Raponi , Costantino Sigismondi , Konrad Guhl , Richard Nugent , Andreas Tegtmeier

An intuitively necessary requirement of models used to provide forecasts of a system's future is the existence of shadowing trajectories that are consistent with past observations of the system: given a system-model pair, do model…

Data Analysis, Statistics and Probability · Physics 2019-09-11 Roland M. B. Young , Roman Binter , Falk Niehörster

We proposed an analytical model for the calculus of illumination time of the Earth for any time of year and any latitude, this model assumes the obliquity of the ecliptic as constant, the light beams as parallels, the Earth as spherical,…

Earth and Planetary Astrophysics · Physics 2012-10-15 Paco Talero , Fernanda Santana , César Mora

This paper presents a survey and a comparative evaluation of recent techniques for moving cast shadow detection. We identify shadow removal as a critical step for improving object detection and tracking. The survey covers methods published…

Computer Vision and Pattern Recognition · Computer Science 2013-04-05 Andres Sanin , Conrad Sanderson , Brian C. Lovell

To use robots in more unstructured environments, we have to accommodate for more complexities. Robotic systems need more awareness of the environment to adapt to uncertainty and variability. Although cameras have been predominantly used in…

Robotics · Computer Science 2025-06-23 Viral Rasik Galaiya

Our goal is to forecast the near future given a set of recent observations. We think this ability to forecast, i.e., to anticipate, is integral for the success of autonomous agents which need not only passively analyze an observation but…

Computer Vision and Pattern Recognition · Computer Science 2021-04-09 Colin Graber , Grace Tsai , Michael Firman , Gabriel Brostow , Alexander Schwing

The ability to determine the pose of a rover in an inertial frame autonomously is a crucial capability necessary for the next generation of surface rover missions on other planetary bodies. Currently, most on-going rover missions utilize…

The location of the solar dynamo is discussed in the context of new insights into the theory of nonlinear turbulent dynamos. It is argued that, from a dynamo-theoretic point of view, the bottom of the convection zone is not a likely…

Astrophysics · Physics 2008-11-26 Axel Brandenburg

With the recent discoveries of hundreds of extrasolar planets, the search for planets like Earth and life in the universe, is quickly gaining momentum. In the future, large space observatories could directly detect the light scattered from…

Astrophysics · Physics 2009-11-13 E. Palle , Eric B. Ford , S. Seager , P. Montanes-Rodriguez , M. Vazquez

We present a method for human pose tracking that is based on learning spatiotemporal relationships among joints. Beyond generating the heatmap of a joint in a given frame, our system also learns to predict the offset of the joint from a…

Computer Vision and Pattern Recognition · Computer Science 2019-03-28 Xiao Sun , Chuankang Li , Stephen Lin

When walking on loose terrains, possibly covered with vegetation, the ground and grass should deform, but the character's gait should also change accordingly. We propose a method for modeling such two-ways interactions in real-time. We…

Graphics · Computer Science 2021-04-27 Chloé Paliard , Eduardo Alvarado , Damien Rohmer , Marie-Paule Cani