Multiscale gigapixel video: A cross resolution image matching and warping approach

Published

Conference Paper

© 2017 IEEE. We present a multi-scale camera array to capture and synthesize gigapixel videos in an efficient way. Our acquisition setup contains a reference camera with a short-focus lens to get a large field-of-view video and a number of unstructured long-focus cameras to capture local-view details. Based on this new design, we propose an iterative feature matching and image warping method to independently warp each local-view video to the reference video. The key feature of the proposed algorithm is its robustness to and high accuracy for the huge resolution gap (more than 8x resolution gap between the reference and the local-view videos), camera parallaxes, complex scene appearances and color inconsistency among cameras. Experimental results show that the proposed multi-scale camera array and cross resolution video warping scheme is capable of generating seamless gigapixel video without the need of camera calibration and large overlapping area constraints between the local-view cameras.

Full Text

Duke Authors

Cited Authors

  • Yuan, X; Fang, L; Dai, Q; Brady, DJ; Liu, Y

Published Date

  • June 16, 2017

Published In

  • 2017 Ieee International Conference on Computational Photography, Iccp 2017 Proceedings

International Standard Book Number 13 (ISBN-13)

  • 9781509057450

Digital Object Identifier (DOI)

  • 10.1109/ICCPHOT.2017.7951481

Citation Source

  • Scopus