Method for high-precision registration of images under scene and illumination variation conditions

A lighting change and high-precision technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems that cannot be directly applied to low-cost and fine-grained change detection, achieve reliable saliency detection results, improve detection capabilities, The effect of improving processing power

Active Publication Date: 2017-05-31
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

However, these recent developments either require complex optimization functions or capture multiple images under dense lighting conditions, making them not directly applicable for low-cost, end-to-end, fine-grained change detection.

Method used

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  • Method for high-precision registration of images under scene and illumination variation conditions
  • Method for high-precision registration of images under scene and illumination variation conditions
  • Method for high-precision registration of images under scene and illumination variation conditions

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Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with the accompanying drawings and through specific embodiments. The following embodiments are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0052] A high-precision image registration method under the conditions of scene and illumination changes, the steps are as follows:

[0053] 1. Camera repositioning:

[0054]Collect scene observation samples at different times. Capture 7 images in a scene: 1 ambient lighting and 6 directional side lighting. The pictures are stored as column vectors.

[0055] Given X as the matrix composed of the above 7 lights is as follows:

[0056]

[0057] Wherein, 1≤k≤K, K is the number of side lighting orientations (here K=6).

[0058] Relocate the current camera to an angle and position similar to the last observation, and roughly adjust it after comparing with the last observation of multiple DSLs to ob...

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Abstract

The invention relates to a method for high-precision registration of images under scene and illumination variation conditions. The method comprises the following steps of camera relocation, initialization of L and F, illumination correction and correction of a geometric position of a camera. The invention provides a multiscale low-rank significance testing method and applies GMM-based synergetic significance prior to popularize multiscale low-rank significance testing to synergetic significance testing of multiple images, so that the same or similar regions in multiple images are tested. Compared with the conventional significance testing method, a low-rank multiscale super-pixel fusion algorithm provided by the invention solves a problem of difficulty in scale selection and obtains a more reliable significance testing result.

Description

technical field [0001] The invention belongs to the field of image registration, and relates to a high-precision registration method for high-value images under scene and illumination changes. This method applies the camera's fast relocation technology to the problem of high-precision image registration when the scene and illumination change, and uses 1 main direction image and 6 auxiliary direction images that appeared during the camera relocation process and the last observed image High-precision registration of the current image is the goal. Background technique [0002] The background technology involved in the present invention has: [0003] (1) Change Detection: Change detection is an important preprocessing step for high-level vision applications. In terms of detection steps and decision rules in change detection, CDNet provides a realistic large-scale benchmark video dataset and maintains a good ranking among change detection algorithms. Based on many newly propos...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/00G06T5/00G06T7/00
CPCG06T3/0068G06T5/006
Inventor 冯伟孙济洲田飞鹏张乾周策
Owner TIANJIN UNIV
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