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Author: Kristopher W. Kersey Publisher: Penn State Press ISBN: 0271098163 Category : Art Languages : en Pages : 325
Book Description
If we want to decolonize the history of art, argues Kristopher Kersey, we must rethink our approach to the historical record. This means dispensing with Eurocentric binaries—divisions between Western and non-Western, modern and premodern—and making a commitment to artworks that challenge the perspectives we build upon them. In Facing Images, the question takes elegant and intriguing form: If the aesthetic hallmarks of “modernity” can be found in twelfth-century art, what does it really mean to be “modern”? Kersey’s answer to this question models a new historiography. Facing Images begins by tracing the turbulent discourse surrounding the emergence of Japanese art history as a modern field. In lieu of examining canonical works from the twelfth century, Kersey foregrounds the elusive and the enigmatic in artworks little known and understudied outside Japan; the manuscripts he selects defy traditional art-historical narratives by exhibiting decidedly modern techniques, including montage, self-reference, reuse, noise, dissonance, and chronological disarray. Kersey weaves these medieval case studies together with insights from a wide range of interdisciplinary scholarship, using a methodology that will prove important for historians: Facing Images produces a history of non-Western art in which diverse and anachronic works are brought responsibly and equitably into dialogue with the present, without being subsumed under Eurocentric formalisms or false universals. A timely intervention in the history of medieval Japanese art, art historiography, and the history of global modernism, Facing Images redefines the relationship of the “premodern” non-West to “modern” art. It will be of particular interest to scholars of medieval Japanese art and of modernism.
Author: Kristopher W. Kersey Publisher: Penn State Press ISBN: 0271098163 Category : Art Languages : en Pages : 325
Book Description
If we want to decolonize the history of art, argues Kristopher Kersey, we must rethink our approach to the historical record. This means dispensing with Eurocentric binaries—divisions between Western and non-Western, modern and premodern—and making a commitment to artworks that challenge the perspectives we build upon them. In Facing Images, the question takes elegant and intriguing form: If the aesthetic hallmarks of “modernity” can be found in twelfth-century art, what does it really mean to be “modern”? Kersey’s answer to this question models a new historiography. Facing Images begins by tracing the turbulent discourse surrounding the emergence of Japanese art history as a modern field. In lieu of examining canonical works from the twelfth century, Kersey foregrounds the elusive and the enigmatic in artworks little known and understudied outside Japan; the manuscripts he selects defy traditional art-historical narratives by exhibiting decidedly modern techniques, including montage, self-reference, reuse, noise, dissonance, and chronological disarray. Kersey weaves these medieval case studies together with insights from a wide range of interdisciplinary scholarship, using a methodology that will prove important for historians: Facing Images produces a history of non-Western art in which diverse and anachronic works are brought responsibly and equitably into dialogue with the present, without being subsumed under Eurocentric formalisms or false universals. A timely intervention in the history of medieval Japanese art, art historiography, and the history of global modernism, Facing Images redefines the relationship of the “premodern” non-West to “modern” art. It will be of particular interest to scholars of medieval Japanese art and of modernism.
Author: Harriet Walter Publisher: ISBN: 9780956649713 Category : Beauty, Personal Languages : en Pages : 205
Book Description
For several years Harriet Walter has been collecting images of older women whose faces and lives have inspired and moved her. Some of these faces are well-known, some are facing the glasre of public scrutiny for the first time".
Author: Sandra L. Bertman Publisher: Taylor & Francis ISBN: 9781560322238 Category : Death Languages : en Pages : 236
Book Description
This work draws upon material from the visual arts, poetry, fiction, drama, and pop-culture to help lead the reader to a heightened awareness of the universal nature of the issues that face the dying and those who care for them. The author argues.
Author: Sandra L. Bertman Publisher: Taylor & Francis ISBN: 1135059187 Category : Psychology Languages : en Pages : 227
Book Description
Facing Death is a unique handbook for educators, healthcare professionals and counselors. It uses materials from the visual arts, excerpts from poetry, fiction, drama, and examples from popular culture to sensitize the reader to important, universal issues confronting the dying, and those responsible for their care.
Author: Paramartha Dutta Publisher: Springer Nature ISBN: 9811538832 Category : Computers Languages : en Pages : 276
Book Description
This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition. The book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG. The authors present the concept of signatures for different characteristics such as distance and shape texture, and describe the use of associated stability indices as features, supplementing the feature set with statistical parameters such as range, skewedness, kurtosis, and entropy. In addition, they demonstrate that experiments with such feature choices offer impressive results, and that performance can be further improved by combining the signatures rather than using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, public and private agencies. This book offers a valuable resource for researchers working in these areas.
Author: Shaogang Gong Publisher: World Scientific ISBN: 1911298917 Category : Computers Languages : en Pages : 364
Book Description
Face recognition is a task that the human vision system seems to perform almost effortlessly, yet the goal of building computer-based systems with comparable capabilities has proven to be difficult. The task implicitly requires the ability to locate and track faces through often complex and dynamic scenes. Recognition is difficult because of variations in factors such as lighting conditions, viewpoint, body movement and facial expression. Although evidence from psychophysical and neurobiological experiments provides intriguing insights into how we might code and recognise faces, its bearings on computational and engineering solutions are far from clear. The study of face recognition has had an almost unique impact on computer vision and machine learning research at large. It raises many challenging issues and provides a good vehicle for examining some difficult problems in vision and learning. Many of the issues raised are relevant to object recognition in general.This book describes the latest models and algorithms that are capable of performing face recognition in a dynamic setting. The key question is how to design computer vision and machine learning algorithms that can operate robustly and quickly under poorly controlled and changing conditions. Consideration of face recognition as a problem in dynamic vision is perhaps both novel and important. The algorithms described have numerous potential applications in areas such as visual surveillance, verification, access control, video-conferencing, multimedia and visually mediated interaction.The book will be of special interest to researchers and academics involved in machine vision, visual recognition and machine learning. It should also be of interest to industrial research scientists and managers keen to exploit this emerging technology and develop automated face and human recognition systems. It is also useful to postgraduate students studying computer science, electronic engineering, information or systems engineering, and cognitive psychology.
Author: Pasquale Foggia Publisher: Springer ISBN: 3642041469 Category : Computers Languages : en Pages : 1075
Book Description
This book constitutes the refereed proceedings of the 15th International Conference on Image Analysis and Processing, ICIAP 2009, held in Vietri sul Mare, Italy, in September 2009. The 107 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 168 submissions. The papers are organized in topical sections on computer graphics and image processing, low and middle level processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern analysis and classification, learning, graphs and trees, applications, shape analysis, face analysis, medical imaging, and image analysis and pattern recognition.
Author: K. C. Santosh Publisher: Springer ISBN: 981139184X Category : Computers Languages : en Pages : 543
Book Description
This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.