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It is shown that spatial correlation functions measured for correlated photon pairs at the single-photon level correspond to speckle patterns visible at high intensities. This correspondence is observed for the first time in one…

Quantum Physics · Physics 2015-06-19 Radek Machulka , Ondrej Haderka , Jan Perina , Marco Lamperti , Alessia Allevi , Maria Bondani

Gaze reflects how humans process visual scenes and is therefore increasingly used in computer vision systems. Previous works demonstrated the potential of gaze for object-centric tasks, such as object localization and recognition, but it…

Computer Vision and Pattern Recognition · Computer Science 2016-08-19 Yusuke Sugano , Andreas Bulling

When studying how people search for objects in scenes, the inhomogeneity of the visual field is often ignored. Due to physiological limitations peripheral vision is blurred and mainly uses coarse-grained information (i.e., low spatial…

Neurons and Cognition · Quantitative Biology 2021-01-05 Anke Cajar , Ralf Engbert , Jochen Laubrock

This paper addresses the problem of understanding joint attention in third-person social scene videos. Joint attention is the shared gaze behaviour of two or more individuals on an object or an area of interest and has a wide range of…

Computer Vision and Pattern Recognition · Computer Science 2021-01-13 Ömer Sümer , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

Critical points mark locations in the domain where the level-set topology of a scalar function undergoes fundamental changes and thus indicate potentially interesting features in the data. Established methods exist to locate and relate such…

Human-Computer Interaction · Computer Science 2023-08-11 Dominik Vietinghoff , Michael Böttinger , Gerik Scheuermann , Christian Heine

To identify the location of objects of a particular class, a passive computer vision system generally processes all the regions in an image to finally output few regions. However, we can use structure in the scene to search for objects…

Computer Vision and Pattern Recognition · Computer Science 2016-08-09 Varun K. Nagaraja , Vlad I. Morariu , Larry S. Davis

Saliency maps are used to understand human attention and visual fixation. However, while very well established for static images, there is no general agreement on how to compute a saliency map of dynamic scenes. In this paper we propose a…

Computer Vision and Pattern Recognition · Computer Science 2016-06-24 Aniello Raffaele Patrone , Christian Valuch , Ulrich Ansorge , Otmar Scherzer

Since the beginning of early civilizations, social relationships derived from each individual fundamentally form the basis of social structure in our daily life. In the computer vision literature, much progress has been made in scene…

Computer Vision and Pattern Recognition · Computer Science 2017-08-03 Junnan Li , Yongkang Wong , Qi Zhao , Mohan S. Kankanhalli

The human visual system processes images with varied degrees of resolution, with the fovea, a small portion of the retina, capturing the highest acuity region, which gradually declines toward the field of view's periphery. However, the…

Computer Vision and Pattern Recognition · Computer Science 2023-04-13 Beatriz Paula , Plinio Moreno

What happens if one pushes a cup sitting on a table toward the edge of the table? How about pushing a desk against a wall? In this paper, we study the problem of understanding the movements of objects as a result of applying external forces…

Computer Vision and Pattern Recognition · Computer Science 2016-03-18 Roozbeh Mottaghi , Mohammad Rastegari , Abhinav Gupta , Ali Farhadi

The study of eye gaze fixations on photographic images is an active research area. In contrast, the image subcategory of freehand sketches has not received as much attention for such studies. In this paper, we analyze the results of a…

Computer Vision and Pattern Recognition · Computer Science 2017-08-09 Ravi Kiran Sarvadevabhatla , Sudharshan Suresh , R. Venkatesh Babu

Humans' ability to detect and locate salient objects on images is remarkably fast and successful. Performing this process by using eye tracking equipment is expensive and cannot be easily applied, and computer modeling of this human…

Computer Vision and Pattern Recognition · Computer Science 2014-03-03 Hamdi Yalin Yalic

We present a new technique for monitoring microlensing activity even in highly crowded fields, and use this technique to place limits on low-mass MACHOs in the haloes of M31 and the Galaxy. Unlike present Galactic microlensing surveys, we…

Astrophysics · Physics 2009-09-28 Austin B. Tomaney , Arlin P. S. Crotts

The accuracy in the photometry of a point source depends on the point-spread function (PSF), detector pixelization, and observing strategy. The PSF and pixel response describe the spatial blurring of the source, the pixel scale describes…

Instrumentation and Methods for Astrophysics · Physics 2012-02-02 Johan Samsing , Alex G. Kim

In the process of making a movie, directors constantly care about where the spectator will look on the screen. Shot composition, framing, camera movements or editing are tools commonly used to direct attention. In order to provide a…

Computer Vision and Pattern Recognition · Computer Science 2021-03-01 Alexandre Bruckert , Marc Christie , Olivier Le Meur

We discuss a graph-based approach for testing spatial point patterns. This approach falls under the category of data-random graphs, which have been introduced and used for statistical pattern recognition in recent years. Our goal is to test…

Methodology · Statistics 2008-02-06 E. Ceyhan , C. E. Priebe , D. J. Marchette

Visual repetition is ubiquitous in our world. It appears in human activity (sports, cooking), animal behavior (a bee's waggle dance), natural phenomena (leaves in the wind) and in urban environments (flashing lights). Estimating visual…

Computer Vision and Pattern Recognition · Computer Science 2018-06-20 Tom F. H. Runia , Cees G. M. Snoek , Arnold W. M. Smeulders

This paper looks into the problem of pedestrian tracking using a monocular, potentially moving, uncalibrated camera. The pedestrians are located in each frame using a standard human detector, which are then tracked in subsequent frames.…

Computer Vision and Pattern Recognition · Computer Science 2015-01-27 Sourav Garg , Swagat Kumar , Rajesh Ratnakaram , Prithwijit Guha

(abridged) Imaging observations are generally affected by a fluctuating background of speckles, a particular problem when detecting faint stellar companions at small angular separations. Knowing the distribution of the speckle intensities…

Astrophysics · Physics 2009-11-13 Michael P. Fitzgerald , James R. Graham

A visual hard attention model actively selects and observes a sequence of subregions in an image to make a prediction. The majority of hard attention models determine the attention-worthy regions by first analyzing a complete image.…

Computer Vision and Pattern Recognition · Computer Science 2021-11-16 Samrudhdhi B. Rangrej , James J. Clark