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Descriptor constructing method suitable for dense matching of wide baseline image

A dense matching and descriptor technology, applied in image analysis, image data processing, character and pattern recognition, etc., can solve the problem that CSIFT descriptors cannot remain unchanged and take a long time.

Inactive Publication Date: 2012-01-04
BEIJING JIAOTONG UNIV
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

The CSIFT descriptor is more robust than the SIFT descriptor when the lighting direction and brightness change, but the CSIFT descriptor cannot remain unchanged when the color of the light source changes
In addition, since the CSIFT descriptor is based on the SIFT descriptor, it will also take a long time to calculate if the CSIFT descriptor is used in dense matching

Method used

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  • Descriptor constructing method suitable for dense matching of wide baseline image
  • Descriptor constructing method suitable for dense matching of wide baseline image
  • Descriptor constructing method suitable for dense matching of wide baseline image

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Embodiment Construction

[0069] The content of the invention of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0070] figure 1 A flow chart of the present invention for constructing a descriptor suitable for dense matching of wide baseline images is shown. First, input an image, take any pixel in the image as the center point (m o ) divides 25 rectangular sub-areas, and the 25 rectangular sub-areas constitute the description area of ​​the pixel.

[0071] Such as figure 2 As shown, the step of dividing 25 rectangular sub-regions further includes:

[0072] Taking any pixel point in the image as the center point (m o ), with 2w 0 Determine 1 rectangular subregion for side length (s o );

[0073]Respectively with the center point (m o ) distance is t 1 , and the 8 pixel points (m 11 、m 12 、m 13 、m 14 、m 15 、m 16 、m 17 、m 18 ) as the center, with 2w 1 Determine 8 rectangular subregions for side lengths (s 11 , s 12...

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Abstract

The invention discloses a descriptor constructing method suitable for dense matching of a wide baseline image. A descriptor constructed by the method provided by the invention comprises a sub descriptor constructed based on Haar wavelet response and a sub descriptor constructed based on a model with a constant color ratio. The descriptor constructed by the method provided by the invention not only enhances the description and matching speed of a traditional DAISY descriptor, but also enhances the independence and the robustness of the traditional descriptor by combining gray information and color information of an image. According to the invention, the model with a constant color ratio is constructed and the model can be used for constructing a sub descriptor with a constant color. The model is kept constant in the change of a view point, an illumination direction, illumination intensity and an illumination color.

Description

technical field [0001] The invention relates to the technical fields of digital image processing and computer vision, in particular to a method for constructing descriptors suitable for dense matching of wide baseline images. Background technique [0002] Dense matching is one of the important research contents in the field of computer vision, and it is widely used in 3D reconstruction, pattern recognition, image retrieval and other fields. Dense matching of narrow baseline images has achieved satisfactory results so far. However, there are often differences in rotation angle, scaling, viewpoint transformation, and illumination changes between wide-baseline images, coupled with the influence of external factors such as noise and occlusion, so the images of different viewpoints are very different, which brings great difficulties to accurate matching. Very difficult. The matching method based on invariant descriptors is one of the dense matching methods for wide baseline ima...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/46
Inventor 苗振江万艳丽唐振
Owner BEIJING JIAOTONG UNIV
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