Results 241 to 250 of about 2,189,827 (277)

Lowering Visual Clutter in Large Component Diagrams

2012 16th International Conference on Information Visualisation, 2012
Nowadays component applications can easily consist of hundreds or thousands of components and it is thus difficult to understand their structure. Diagram visualisation does not help much because of visual clutter caused by big amount of elements and connections, especially in the case of flat component models.
Lukas Holy, Kamil Jezek, Jaroslav Snajberk, Premek Brada   +3 more
openaire   +1 more source

Object segmentation in cluttered and visually complex environments

Autonomous Robots, 2013
Object segmentation is essential for systems that acquire object models online for robotic grasping. However, it remains a major technical challenge in visually complex and uncontrolled environments. Segmentation algorithms that rely on image features alone can perform poorly under certain lighting conditions, or if the object and the background have ...
Dmitri Ignakov, Guangjun Liu, Galina Okouneva   +2 more
openaire   +1 more source

Visual Search and Detection in Background Clutter

Proceedings of the Human Factors Society Annual Meeting, 1992
Two traditions of vision modeling have coexisted for many years with little or no transfer of information between them. Those interested in models of visual target acquisition for real-world scenarios have developed engineering models, which are essentially empirical summaries of visual performance data.
Theodore J. Doll, Shane W. McWhorter, David E. Schmieder   +2 more
openaire   +1 more source

Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA

2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003
In this paper we explore object recognition in clutter. We test our object recognition techniques on Gimpy and EZ-Gimpy, examples of visual CAPTCHAs. A CAPTCHA ("Completely Automated Public Turing test to Tell Computers and Humans Apart") is a program that can generate and grade tests that most humans can pass, yet current computer programs can't pass.
Jitendra Malik, Gregory Peter Mori
exaly   +3 more sources

Techniques to reduce cluttering of RDF visualizations

Future Generation Computer Systems, 2015
The Resource Description Framework (RDF) provides a generic way to represent data as a graph using Web standards. The benefits of using RDF are multiple, including an extensible and generic data model that can be used to represent almost any knowledge domain.
openaire   +1 more source

Visual Cluttering Reduction for Visualizing Large Spatio-temporal Data Sets

2014 IEEE 17th International Conference on Computational Science and Engineering, 2014
Visual analytic techniques are useful for studying patterns and relationships hidden in very large data sets. However, a common problem in visualizing large data sets is visual cluttering. When data get large, visual elements often get crowded, making it difficult for viewers to conduct analysis.
Ayush Shrestha, Ying Zhu 0001, Yan Zhu
openaire   +1 more source

Visual attention model for target search in cluttered scene

2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, 2011
Visual attention models generate saliency maps in which attentive regions are more distinctive with respect to remaining parts of the scene. In this work, a new model of orientation conspicuity map (OCM) is presented for the computation of saliency. The proposed method is based on the difference of the Gabor filter outputs with orthogonal orientations ...
Nevrez Imamoglu, Weisi Lin
openaire   +2 more sources

Visual Display Screen Clutter Metrics

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2000
This paper explores the use of conjoint analysis as a measure of the subjective evaluation of clutter on avionics displays. As new systems are added to glass-cockpit aircraft they are overlaid onto existing systems and more and more symbology is present on these displays.
openaire   +1 more source

Detection thresholds for label motion in visually cluttered displays

2010 IEEE Virtual Reality Conference (VR), 2010
While label placement algorithms are generally successful in managing visual clutter by preventing label overlap, they can also cause significant label movement in dynamic displays. This study investigates motion detection thresholds for various types of label movement in realistic and complex virtual environments, which can be helpful for designing ...
Stephen D. Peterson, Magnus Axholt, Matthew Cooper 0001, Stephen R. Ellis   +3 more
openaire   +2 more sources

A neural model of visually-guided navigation in a cluttered world

2009 International Joint Conference on Neural Networks, 2009
Visually guided navigation through a cluttered natural scene is a challenging problem that animals and humans accomplish with ease. A neural model proposes how primates use motion information to segment objects and determine heading for purposes of goal approach and obstacle avoidance in response to video inputs from real and virtual environments.
N. Andrew Browning, Stephen Grossberg, Ennio Mingolla   +2 more
openaire   +1 more source