Preprocessing method of multi-viewpoint image

A multi-viewpoint image and viewpoint image technology, applied in image data processing, image analysis, color signal processing circuits, etc., can solve problems such as high computational complexity, low mapping accuracy, and inability to maintain matchability

Inactive Publication Date: 2008-05-14
上海贵知知识产权服务有限公司
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Problems solved by technology

However, if the multi-viewpoint image undergoes changes such as rotation, scaling, viewing angle transformation, and illumination transformation, or due to factors such as occlusion and noise, area matching and histogram matching cannot maintain good matchability, and the mapping accuracy is low.
[0006] G...

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Embodiment Construction

[0057] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0058] The following firstly describes the concept of scale-invariant feature transformation adopted by the present invention and the problem of finding the best candidate matching key point through feature matching.

[0059] The SIFT (Scale Invariant Feature Transform) algorithm first performs extreme value detection in the scale space, and then extracts SIFT feature vectors that remain invariant to factors such as rotation, scaling, viewing angle transformation, and illumination transformation. SIFT feature vectors mainly include The position of the key point, the scale size of the position of the key point, and the direction parameter of the key point.

[0060] The extraction of the SIFT feature vector of a pair of multi-view image includes the extraction of the target image and the source image feature vector, and the extraction of the sou...

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Abstract

The invention discloses a pretreatment method for multi-viewpoint image, which carries out the extremum detection to the object image and the source image in the scale space via the invariant scale characteristics transform algorithm, picks up the invariant scale characteristics transform eigenvector of the object image and the source image key points, acquires the accurate matching key point pair set of the object image and the source image by the feature matching algorithm and corrects the color of the source image by computing the multiplicative error and the additive error of the key point pair set, carries out the geometric calibration to the rectifying image after color correction by establishing the affine transformation between the key points, the advantages of which lies in that under the prerequisite of ensuring the accuracy of the multi-viewpoint image color correction and the geometric calibration, the invention greatly improves the robustness and the mapping accuracy of the color correction, reduces the complicatedness of the geometric calibration and enhances the coding performance of the multi-viewpoint image.

Description

technical field [0001] The invention relates to a method for processing multi-viewpoint images, in particular to a preprocessing method for multi-viewpoint images. Background technique [0002] In the real world, the visual content seen by the observer depends on the position of the observer relative to the observed object, and the observer can freely choose various angles to observe and analyze things. In traditional video systems, the real scene relative to a viewpoint is determined by the cameraman or director. Users can only passively watch the video image sequence captured by the camera at a single viewpoint, but cannot freely choose other viewpoints. To observe the real scene. These unidirectional video sequences can only reflect one side of the real-world scene. The free-viewpoint video system allows users to freely choose a viewpoint to watch any side within a certain range in real-world scenes, and is called the development direction of the next-generation video s...

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Application Information

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IPC IPC(8): H04N9/64G06T7/00
Inventor 邵枫郁梅蒋刚毅
Owner 上海贵知知识产权服务有限公司
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