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Association for Computing Machinery

Articles Tagged: Computer vision

Articles & Features

Finding the edge: Art and automation

COLUMN: Letter from the editors

Finding the edge: Art and automation

By Jennifer Jacobs, April 2018

PDF | HTML | In the Digital Library

Computers and art in the age of machine learning

COLUMN: INIT

Computers and art in the age of machine learning

By Emily L. Spratt, April 2018

PDF | HTML | In the Digital Library

Harnessing technology for art history at the Frick Art Reference Library

SECTION: Features

Harnessing technology for art history at the Frick Art Reference Library

The Frick Art Reference Library has been researching the potential of computer technology to enhance the methods art historians have historically used to do their research. The Frick has launched a number of exciting new collaborative projects with the hopes of bringing the normally staid world of art history into the 21st century.

By Louisa Wood Ruby, Samantha Deutch, April 2018

PDF | HTML | In the Digital Library

The burgeoning computer-art symbiosis

The burgeoning computer-art symbiosis

Computers help us understand art. Art helps us teach computers.

By Shiry Ginosar, Xi Shen, Karan Dwivedi, Elizabeth Honig, Mathieu Aubry, April 2018

PDF | HTML | In the Digital Library

Creativity + Computer Science

COLUMN: INIT

Creativity + Computer Science

By Nick DePalma, David Robert, June 2013

PDF | HTML | In the Digital Library

Real-time detection with webcam

DEPARTMENT: Hello world

Real-time detection with webcam

By Dmitry Batenkov, June 2010

PDF | HTML | In the Digital Library

Introduction

By Justin Solomon, December 2008

PDF | HTML | In the Digital Library

Introduction

By Justin Solomon, September 2008

PDF | HTML | In the Digital Library

Introduction

By Niels Ole Bernsen, September 2007

PDF | HTML | In the Digital Library

Use of motion field warping to generate cardiac images

In this study, we developed an algorithmic method to analyze late contrast-enhanced (CE) magnetic resonance (MR) images, revealing the so-called hibernating myocardium. The algorithm is based on an efficient and robust image registration algorithm. Using our method, we are able to integrate the static late CE MR image with its corresponding cardiac cine MR images, constructing cardiac motion CE MR images, which are referred to as cardiac cine CE MR images. This method appears promising as an improved cardiac viability assessment tool

By Gang Gao, Paul Cockshott, September 2007

PDF | HTML | In the Digital Library

The science of shape

By Justin Solomon, September 2007

PDF | HTML | In the Digital Library

Introduction

By Iren Valova, March 2007

PDF | HTML | In the Digital Library

SIGGRAPH 2006

By Justin Solomon, March 2007

PDF | HTML | In the Digital Library

Computer vision and artificial intelligence

By Christopher O. Jaynes, September 1996

PDF | HTML | In the Digital Library