MotionViz: Artistic Visualization of Human Motion on Mobile Devices

被引：3

作者：

Mayer, Maximilian ^{[1
]}

Trenz, Philipp ^{[1
]}

Pasewaldt, Sebastian ^{[2
]}

Klingbeil, Mandy ^{[1
]}

Doellner, Juergen ^{[1
]}

Trapp, Matthias ^{[1
]}

Semmo, Amir ^{[2
]}

机构：

[1] Univ Potsdam, Hasso Plattner Inst Digital Engn, Potsdam, Germany

[2] Digital Masterpieces GmbH, Potsdam, Germany

来源：

SIGGRAPH '21: ACM SIGGRAPH 2021 APPY HOUR | 2021年

关键词：

motion visualization; video; stylization; portrait matting; mobile;

D O I：

10.1145/3450415.3464398

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present MotionViz, an interactive iOS mobile app that enables users to amplify motion and dynamics in videos. MotionViz implements novel augmented reality and expressive rendering techniques in an end-to-end processing pipeline: multi-dimensional video data is captured, analyzed, and processed to render animated graphical elements that help express figures and actions. Through an easy-to-use graphical user interface, users can choose from a curated list of artistic motion visualization effects, including the overlay of animated silhouettes, halos, and contour lines. MotionViz is based on Apple's LiDAR technology, accelerated image processing APIs, and dedicated Neural Engine for real-time on-device processing.

引用

页数：2