Results 271 to 280 of about 18,044,417 (315)

Skin Patch Detection in Real-World Images

2002
While human skin is relatively easy to detect in controlled environments, detection in uncontrolled settings such as in consumer digital photographs is generally hard. Algorithms need to robustly deal with variations in lighting, color resolution, and imaging noise.
Schiele, B. ; https://orcid.org/0000-0001-9683-5237, Kruppa, H., Bauer, M.   +2 more
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Mathematical Modeling of Real-World Images

Constructive Approximation, 1996
In ``Mathematical modeling of real-world images'' the author considers the problem of approximating images using appropriate mathematical objects. If \(D = [0,1]^2\), the author defines the metric space \(IM_D\) of completed graphs of bounded functions (as closed bounded subsets of \(\mathbb{R}^3)\) with the Hausdorff distance.
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Specular Highlight Removal for Real‐world Images

Computer Graphics Forum, 2019
AbstractRemoving specular highlight in an image is a fundamental research problem in computer vision and computer graphics. While various methods have been proposed, they typically do not work well for real‐world images due to the presence of rich textures, complex materials, hard shadows, occlusions and color illumination, etc.
Gang Fu 0003, Qing Zhang 0006, Chengfang Song, Qifeng Lin, Chunxia Xiao   +4 more
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Robust Localization of Texts in Real-World Images

International Journal of Pattern Recognition and Artificial Intelligence, 2015
Localization of texts in natural images could be an important stage in many applications such as content-based image retrieval, visual impairment assistance systems, automatic robot navigation in urban environments and tourist assistance systems. However due to the variations of font, script, scale, orientations, color, shadow and lighting conditions,
Shaho Ghanei, Karim Faez
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Robust skin detection in real-world images

Journal of Visual Communication and Image Representation, 2015
Proposed scheme incorporates color property, texture property and region property.Robust skin seeds are acquired by combining color property and texture property.SCTGC incorporates color property, texture property and region property. Human skin detection in images is desirable in many practical applications, e.g., human-computer interaction and adult ...
Lei Huang 0010, Wen Ji, Zhiqiang Wei 0002, Bo-Wei Chen, Chenggang Clarence Yan, Jie Nie, Jian Yin 0003, Baochen Jiang   +7 more
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Text Detection and Recognition in Real World Images

2012 International Conference on Frontiers in Handwriting Recognition, 2012
Detecting and recognizing texts in real world images such as sign boards and advertisements is an important part of computer vision applications. The complexity of the problem comes out of many factors such as nonuniform background, different languages and fonts, and non consistent text alignment and orientation.
Raid Saabni, Moti Zwilling
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World Images, Authority, and Institutions

European Journal of Social Theory, 2010
Max Weber famously wrote that world images determine the tracks along which societies move. This article examines the relation between world images and the so-called tracks of society, which in this metaphor resemble the current concept of institution.
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Images of the world, images of conflict

2016
In the short story Pascale’s Sphere Borges wrote, ‘universal history is the history of a few metaphors’. The history of world politics certainly seems marked by a few recurring concepts and metaphors: the universal and the particular, the inside and the outside, the balance of power, and the ideal of symmetry and actuality of chaos.
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The Hindu World Image

Abstract Includes some of Kakar’s earliest and best known comparative essays. Here he evokes multiple psychoanalytic perspectives – including classical and neo- Freudian psychoanalysis, the developmental theories of Erik Erikson (Kakar’s mentor), object relations theory, and self-psychology.
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Real world image analysis

2003
DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ...
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