Graph Vision

Graph Vision
Author :
Publisher : MIT Press
Total Pages : 241
Release :
ISBN-10 : 9780262049016
ISBN-13 : 0262049015
Rating : 4/5 (015 Downloads)

Book Synopsis Graph Vision by : Theodora Vardouli

Download or read book Graph Vision written by Theodora Vardouli and published by MIT Press. This book was released on 2024-11-12 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: How a protean mathematical object, the graph, ushered in new images, tools, and infrastructures for design and catalyzed a digital future for architecture. In Graph Vision, Theodora Vardouli offers a fresh history of architecture’s early entanglements with modern mathematics and digital computing by focusing on a hidden protagonist: the graph. Fueled by iconoclastic sentiments and skepticism of geometric depiction, architects, she explains, turned to the skeletal underpinnings of their work, and with it the graph, as a site of representation, operation, and political possibility. Taking the reader on an enthralling journey through a polyvalent mathematical entity, Vardouli combines close readings of graphs’ architectural manifestations as images, tools, and infrastructures for design with original archival work on research centers that spearheaded mathematical and computational approaches to architecture. Structured thematically, Graph Vision weaves together archival findings on influential research groups such as the Land Use Built Form Studies Center at the University of Cambridge, the Center for Environmental Structure at Berkeley, the Architecture Machine Group at the Massachusetts Institute of Technology, among others, as well as important figures who led, or worked in proximity to, these groups, including Lionel March, Christopher Alexander, and Yona Friedman. Together, this material chronicles the emergence of both a new way of seeing and a new prospect for the discipline that prefigured its digital future—of a “graph vision.” Vardouli argues that this vision was one of vacillation toward visual appearance. Digital approaches to architecture, she ultimately reveals, were founded on a profound ambivalence toward the visual realm endemic to mid-twentieth century architectural and mathematical modernisms.


Graph Vision Related Books

Graph Vision
Language: en
Pages: 241
Authors: Theodora Vardouli
Categories: Architecture
Type: BOOK - Published: 2024-11-12 - Publisher: MIT Press

DOWNLOAD EBOOK

How a protean mathematical object, the graph, ushered in new images, tools, and infrastructures for design and catalyzed a digital future for architecture. In G
Graph-Based Methods in Computer Vision: Developments and Applications
Language: en
Pages: 395
Authors: Bai, Xiao
Categories: Computers
Type: BOOK - Published: 2012-07-31 - Publisher: IGI Global

DOWNLOAD EBOOK

Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understandi
Graph Neural Networks: Foundations, Frontiers, and Applications
Language: en
Pages: 701
Authors: Lingfei Wu
Categories: Computers
Type: BOOK - Published: 2022-01-03 - Publisher: Springer Nature

DOWNLOAD EBOOK

Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data
Applied Graph Theory in Computer Vision and Pattern Recognition
Language: en
Pages: 265
Authors: Abraham Kandel
Categories: Computers
Type: BOOK - Published: 2007-03-12 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-l
Graph Representation Learning
Language: en
Pages: 141
Authors: William L. William L. Hamilton
Categories: Computers
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational induct