Description

ACTS is an automatic camera tracking system which can efficiently and stably recover camera motion as well as 3D scene strucutre from videos and film sequences. It is for non-commercial research and educational use ONLY. Not for reproduction, distribution or commercial use. If you use this executable for your academic publication, please acknowledge our work. This program is tested on Windows XP, Server 2003, Win7, but is still not guaranteed to be bug-free and work properly with all versions of Windows. You are welcome to report any suggestions or bugs. We will actively update the program. Please email Guofeng Zhang if you have any questions.

Structure-from-Motion is a cornerstone for many other computer vision tasks, such as 3D reconstruction, video-based rendering and video editing. In the future, we will actively update ACTS and add more and more advanced or extra functions along with our published papers.

Updates (ACTS2.0 released on Dec. 04, 2012)

This is a maintenance release with update. Dense depth recovery component is added, which is implemented based on the following two papers (Qianling Li re-implemented the work with GPU acceleration):

[1] Guofeng Zhang, Jiaya Jia, Tien-Tsin Wong, and Hujun Bao. Consistent Depth Maps Recovery from a Video Sequence. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 31(6):974-988, 2009.
[2] Guofeng Zhang, Zilong Dong, Jiaya Jia, Liang Wan, Tien-Tsin Wong, and Hujun Bao. Refilming with Depth-Inferred Videos. IEEE Transactions on Visualization and Computer Graphics (TVCG), 15(5):828-840,2009.
Please read pages 25-28 of our user mannual about how to use this new component. If you would like to use GPU acceleration (cuda), you should turn on the "Use GPU" option in the "Depth Recovery Advanced Parameters" Dialog. It is off at default.

Publications

  • Structure-from-Motion:
    • Guofeng Zhang, Xueying Qin, Wei Hua, Tien-Tsin Wong, Pheng-Ann Heng and Hujun Bao. Robust Metric Reconstruction from Challenging Video Sequences. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. [paper, video]
    • Guofeng Zhang, Zilong Dong, Jiaya Jia, Tien-Tsin Wong, and Hujun Bao. Efficient Non-Consecutive Feature Tracking for Structure-from-Motion. European Conference on Computer Vision (ECCV), 2010.[paper, video]
  • Dense Depth Recovery:
    • Guofeng Zhang, Jiaya Jia, Tien-Tsin Wong, and Hujun Bao. Consistent Depth Maps Recovery from a Video Sequence. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 31(6):974-988, 2009.[paper, video, data]
    • Guofeng Zhang, Zilong Dong, Jiaya Jia, Liang Wan, Tien-Tsin Wong, and Hujun Bao. Refilming with Depth-Inferred Videos. IEEE Transactions on Visualization and Computer Graphics (TVCG), 15(5):828-840,2009. [paper, video]
  • Video Stabilization:
    • Guofeng Zhang, Wei Hua, Xueying Qin, Yuanlong Shao, and Hujun Bao. Video Stabilization Based on a 3D Perspective Camera Model. The Visual Computer, 25(11): 997-1008, 2009.

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Development Team

  • Guofeng Zhang: Design the system framework. Develop and maintain the kernel.
  • Zilong Dong: Design and implement most of the UI. Also implement some auxiliary code/tools.
  • Hanqing Jiang: Implement the interactive 3D viewer.
  • Qianling Li: Re-implement the dense depth recovery component with GPU acceleration.
  • Yuanlong Shao : Implement some part of the UI, including timeline and play control.

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