智能机器时代的数字艺术(有中文字幕)

Art in the age of machine intelligence | Refik Anadol – YouTube

能否用机器来展现一个人的记忆?如果成堆的数据能够被形象化的看见?比如推特点赞数分布等。
能否用这些数据当做颜料和画笔来作画呢?比如用点赞数来诱导山川风景的变化。
还可以利用多台投影仪组合,打造建筑艺术。利用体感器打造人机交互艺术……





作者简介:

Refik Anadol是土耳其多媒体艺术家兼导演、谷歌艺术和机器智能项目驻场艺术家(Google’s Art and Machine Intelligence Artist Residency) ,他运用实时音乐与视觉特效打造公共艺术雕塑、呈现沉浸式感官体验。他的作品是对数字媒体与物理实体互动关系的探索,重新定义了建筑结构与媒体艺术的紧密关系。

作者主页:Refik Anadol – Refik Anadol https://refikanadol.com/

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转载自:Getting Started with Kinect and Processing | Daniel Shiffman


Getting Started with Kinect and Processing

Kinect and Processing

The Microsoft Kinect sensor is a peripheral device (designed for XBox and windows PCs) that functions much like a webcam. However, in addition to providing an RGB image, it also provides a depth map. Meaning for every pixel seen by the sensor, the Kinect measures distance from the sensor. This makes a variety of computer vision problems like background removal, blob detection, and more easy and fun!

The Kinect sensor itself only measures color and depth. However, once that information is on your computer, lots more can be done like “skeleton” tracking (i.e. detecting a model of a person and tracking his/her movements). To do skeleton tracking you’ll need to use Thomas Lengling’s windows-only Kinect v2 processing libray. However, if you’re on a Mac and all you want is raw data from the Kinect, you are in luck! This library uses libfreenect and libfreenect2 open source drivers to access that data for Mac OS X (windows support coming soon).

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