The Classification Of Visual Art
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The Classification of Visual Art
Author: Tiffany Sutton
language: en
Publisher: Cambridge University Press
Release Date: 2000-03-28
Sutton's work explores what it is that bestows the designation 'art' on an artwork.
Understanding of Visual Arts Theory and Practice.
Author: Rajkumar Pandey
language: en
Publisher: Blue Rose Publishers
Release Date: 2024-09-04
Understanding of Visual Arts: Theory and Practice" is a comprehensive guide designed for students and enthusiasts of fine arts. This book delves into the fundamental concepts of visual arts, covering essential topics such as the Elements of Art, Principles of Composition, and the Six Limbs of Arts (Shadang). It also explores various mediums, techniques, and the difference between two-dimensional and three-dimensional art. Special emphasis is placed on drawing and rendering, perspective, aesthetics, and the cultural impact of art on society. Additionally, the book offers insights into Indian folk arts, photography, and career opportunities in the field of visual arts. Richly illustrated and thoughtfully structured, this book serves as both a theoretical framework and a practical guide, making it an invaluable resource for BFA students and anyone passionate about visual arts.
Computer Vision - ECCV 2014 Workshops
The four-volume set LNCS 8925, 8926, 8927, and 8928 comprises the refereed post-proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They were presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included. .