Minimum Error Seam-Based Efficient Panorama Video Stitching Method Robust to Parallax

From stitching video sequences point of view, an existing image stitching technique may have limitations on object movement or loss in the stitched video sequence due to the different parallax of the individual video sequences. Also, an existing image stitching technique have higher computational complexity and have matching accuracy limitations in obtaining descriptors for many factors. Therefore, this paper proposes an edge-based weight minimum error seam method in order to overcome the limitations caused by parallax and video stitching and trigonometric ratio-based image match algorithm in order to reduce computational complexity and insensitivity to rotation, illumination, image size, or resolution.

[1]  Hetal M. Patel,et al.  Comprehensive Study And Review Of Image Mosaicing Methods , 2012 .

[2]  Matthijs C. Dorst Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[3]  Mohamed S. Shehata,et al.  Image Identification Using SIFT Algorithm: Performance Analysis against Different Image Deformations , 2017, ArXiv.

[4]  Tong Zhang,et al.  Generating panorama photos , 2003, SPIE ITCom.

[5]  Gary R. Bradski,et al.  ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[6]  Richard Szeliski,et al.  Creating full view panoramic image mosaics and environment maps , 1997, SIGGRAPH.

[7]  Bin He,et al.  Panoramic video stitching in multi-camera surveillance system , 2010, 2010 25th International Conference of Image and Vision Computing New Zealand.

[8]  Wei Xu,et al.  Panoramic video stitching from commodity HDTV cameras , 2013, Multimedia Systems.

[9]  Yingen Xiong,et al.  Fast panorama stitching for high-quality panoramic images on mobile phones , 2010, IEEE Transactions on Consumer Electronics.

[10]  J.C.A. Fernandes,et al.  Using Conical and Spherical Mirrors with Conventional Cameras for 360° Panorama Views in a Single Image , 2006, 2006 IEEE International Conference on Mechatronics.

[11]  Hazem M. El-Bakry,et al.  Image Stitching based on Feature Extraction Techniques: A Survey , 2014 .

[12]  Pierre Vandergheynst,et al.  FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Vincent Lepetit,et al.  BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.

[14]  Reinhard Klette,et al.  Comparative Studies of Line-based Panoramic Camera Calibration , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

[15]  Heedong Ko,et al.  Real-time panoramic video streaming system with overlaid interface concept for social media , 2013, Multimedia Systems.

[16]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[17]  Chen Wang,et al.  Robust Image Stitching with Multiple Registrations , 2018, ECCV.