Microsoft Technology Licensing, LLC

Tsinghua University

Xuguang Wang

Huaqiang Wu

Daxin Jiang

Linjun Shou

Ming Gong

Qinglin He

Chen Hu

Xuanyu Bai

The present disclosure proposes a method and apparatus for multi-model joint denoising training. Multiple models may be obtained. A set of training samples may be denoised through the multiple models. The multiple models may be trained with the set of denoised training samples.

Multi-model joint denoising training

Disclosed are a video stitching method and a video stitching device. The video stitching method is applicable for stitching a first video and a second video, and includes: performing feature extraction, feature matching and screening on a first target frame of the first video and a second target frame of the second video, so as to obtain a first feature point pair set; performing forward tracking on the first target frame and the second target frame, so as to obtain a second feature point pair set; performing backward tracking on the first target frame and the second target frame, so as to obtain a third feature point pair set; and calculating a geometric transformation relationship between the first target frame and the second target frame according to a union of the first feature point pair set, the second feature point pair set and the third feature point pair set.

Video stitching method and device

Growing community of inventors

Beijing, China

Xuguang Wang