MobiDepth

[1]  Yunxin Liu,et al.  Romou: rapidly generate high-performance tensor kernels for mobile GPUs , 2022, MobiCom.

[2]  Zheng Yang,et al.  FollowUpAR: enabling follow-up effects in mobile AR applications , 2021, MobiSys.

[3]  N. Shih,et al.  Situated AR Simulations of a Lantern Festival Using a Smartphone and LiDAR-Based 3D Models , 2020, Applied Sciences.

[4]  Youngki Lee,et al.  Heimdall: mobile GPU coordination platform for augmented reality applications , 2020, MobiCom.

[5]  Young Min Song,et al.  Miniaturized 3D Depth Sensing-Based Smartphone Light Field Camera , 2020, Sensors.

[6]  Jonathan T. Barron,et al.  Depth from motion for smartphone AR , 2018, ACM Trans. Graph..

[7]  Naai-Jung Shih,et al.  MARINS: A Mobile Smartphone AR System for Pathfinding in a Dark Environment , 2018, Sensors.

[8]  Torsten Sattler,et al.  Large-scale outdoor 3D reconstruction on a mobile device , 2017, Comput. Vis. Image Underst..

[9]  Antonio M. López,et al.  Embedded Real-time Stereo Estimation via Semi-Global Matching on the GPU , 2016, ICCS.

[10]  Dah-Jye Lee,et al.  Review of stereo vision algorithms and their suitability for resource-limited systems , 2013, Journal of Real-Time Image Processing.

[11]  Carsten Rother,et al.  PatchMatch Stereo - Stereo Matching with Slanted Support Windows , 2011, BMVC.

[12]  Kristian Ambrosch,et al.  Accurate hardware-based stereo vision , 2010, Comput. Vis. Image Underst..

[13]  Antonios Gasteratos,et al.  Stereo vision for robotic applications in the presence of non-ideal lighting conditions , 2010, Image Vis. Comput..

[14]  Mauro Barbieri,et al.  Synchronization of multi-camera video recordings based on audio , 2007, ACM Multimedia.