臉部共享
Share Faces
Share Faces
Kyle McDonald
凱爾.麥當納是擅長運用程式碼創作的藝術家,同時也是開放源碼如openFrameworks這類藝術程式工具的投稿編寫者,他創作不同程式工具以利其他藝術家得以運用新的演算法進行創作。他習慣在完成自己的創作計劃前,先在公開場合分享創作概念及計劃內容,以創意顛覆網絡通信及運算,找出系統故障和偏誤,擴展這些概念以翻轉從身分認同到各種不同關係的各式主題。麥當納曾任紐約大學互動電子媒體實驗室(ITP)兼任教授、自由藝術與技術實驗室(F.A.T. Lab)成員、openFrameworks社群管理員等,也曾於卡內基梅隆大學的搜索創造力工作室(STUDIO for Creative Inquiry)和日本的山口媒體藝術中心(Yamaguchi Center for Arts and Media,YCAM)進行駐村創作。麥當納的藝術計劃及委託創作作品曾於世界各地及不同藝術節展出,包括:東京互動藝術中心(NTT ICC)、奧地利電子藝術節、聲納電子藝術季、紐約Eyebeam藝術科技中心、韓國首爾安養公共藝術計畫、阿姆斯特丹Cinekid國際兒童電影節、丹麥點擊藝術節、德國NODE雙年展等。麥當納亦經常帶領工作坊,探索電腦視覺及互動形式。
Kyle McDonald is an artist working with code. He is a contributor to open source arts-engineering toolkits like openFrameworks, and builds tools that allow artists to use new algorithms in creative ways. He has a habit of sharing ideas and projects in public before they're completed. He creatively subverts networked communication and computation, explores glitch and systemic bias, and extends these concepts to reversal of everything from identity to relationships. Kyle has been an adjunct professor at NYU's ITP, and a member of F.A.T. Lab, community manager for openFrameworks, and artist in residence at STUDIO for Creative Inquiry at Carnegie Mellon, as well as YCAM in Japan. His work is commissioned by and shown at exhibitions and festivals around the world, including: NTT ICC, Ars Electronica, Sonar/OFFF, Eyebeam, Anyang Public Art Project, Cinekid, CLICK Festival, NODE Festival, and many others. He frequently leads workshops exploring computer vision and interaction. |
在此作中,攝影機及特殊軟體會捕捉觀賞人的臉部位置,觀者一旦移動,系統便會由資料庫中配對相應的新面容,產生觀者運用他人容貌製造出的鏡像。透過《臉部共享》,觀者得以與身處他方、與自身有所差異的人們建立新的關係。
A camera and custom software match the face locations of the persons looking at the screen. As the visitor moves, new images are pulled from the database matching the new location and create a mirror-like image of yourself using the images of others. “Sharing Faces” is about finding connections with people in another place that you typically find quite different from yourself.
A camera and custom software match the face locations of the persons looking at the screen. As the visitor moves, new images are pulled from the database matching the new location and create a mirror-like image of yourself using the images of others. “Sharing Faces” is about finding connections with people in another place that you typically find quite different from yourself.