Image stitching real-time performance optimization method

A technology of image stitching and optimization method, applied in the field of computer vision, can solve problems such as the inability to meet real-time requirements, and achieve the effect of improving real-time performance and improving real-time performance.

Active Publication Date: 2016-08-17
湖州清舟船舶科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The current image stitching technology based on feature points mainly uses the SURF algorithm and the SIFT algorithm. The SURF algorithm has better real-time performance. However, SURF has an advantage in time, but it still cannot meet the real-time requirements when it is applied in the actual environment.

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with the accompanying drawings.

[0032] The main disadvantage of the traditional image stitching method based on feature points is real-time performance. The current accelerated feature point detection algorithm can only reach the second level, and the process of stitching multiple images still consumes a lot of time. The invention discloses an optimized accelerated image mosaic algorithm, which can reduce the time of image feature point detection and feature point matching as much as possible by predicting image overlapping areas and image feature point thresholds.

[0033] as attached figure 1 As shown, for the image A and image B to be matched, the optimal overlapping area is found through the NCC algorithm, and the feature point detection is performed in the overlapping area. The feature point detection is carried out using the optimized SURF algorithm. By inputting the image A and image B into t...

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Abstract

The invention belongs to the technical field of computer vision, and particularly relates to an image stitching real-time performance optimization method. The method comprises the following steps of image NCC region matching, SURF (speeded up robust feature) threshold value estimation and feature point matching. Under the condition of precisely solving the transformation matrix, through algorithm optimization, the detection feature point number is greatly reduced; meanwhile, the image overlapping region size is pre-estimated through a local region matching algorithm NCC; the feature point search range in the image stitching process is reduced through locking the overlapping region. The NCC algorithm obtains a cross-correlation maximum value window for estimating the approximate matching condition of the image; the feature point finding among local images is avoided; the real-time performance of the image stitching is improved through the overlaying use of two methods.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a real-time optimization method of image splicing. Background technique [0002] For example, in the research on the core algorithm of digital image stitching published by Shao Xiangxin et al., the traditional camera has a very limited field of view. Because it can only obtain the image directly in front, it will result in only part of the information of the environment being obtained. Civilian video surveillance As well as military navigation and aerospace, higher requirements for image resolution have been put forward, and image stitching technology has emerged at the same time. Algorithms used in image mosaic technology mainly include phase correlation method, region-based method and feature-based method. The present invention adopts feature-based method to improve the algorithm. [0003] Image stitching has applications in many fields. In the field of na...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/50G06T7/00
CPCG06T3/4038G06T5/50
Inventor 蔡成涛汪鹏飞刘安翁翔宇
Owner 湖州清舟船舶科技有限公司
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