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Image clipping method based on 3D saliency

A remarkable, image-based technology, applied in the field of image processing, can solve problems such as object deformation, image cropping, loss of important information, etc.

Active Publication Date: 2017-01-25
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problems that objects in the image will be deformed, some important information will be lost, and images with complex scenes cannot be effectively cropped during the process of clipping the target image by most current image clipping methods. The image cropping method of 3D saliency can combine depth information with 2D saliency and enhance the robustness of image clipping

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  • Image clipping method based on 3D saliency
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  • Image clipping method based on 3D saliency

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Embodiment Construction

[0034] In this embodiment, an image clipping method based on three-dimensional saliency is to use depth data to obtain the depth map of the target image; then combine the depth map and the two-dimensional model to construct a three-dimensional saliency model; Adaptively update the weight between the depth data and the 2D model; again use the 3D saliency model to calculate the image energy function gradient; finally remove the points with less saliency to crop the image, specifically as follows:

[0035] Step 1: Use formula (1) to calculate the energy function E of each pixel in the target image I with an image size of m×n: the energy function is obtained by using the L1 paradigm to calculate the gradient of each pixel of the target image; the gradient information It usually reflects the edge of the object in the image, which can effectively ensure the integrity of the image during the clipping process. The target image such as figure 1 Shown:

[0036] E (...

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Abstract

The invention discloses an image clipping method based on three-dimensional significance. The image clipping method is characterized by comprising the following steps that firstly, a depth image of a target image is obtained according to depth data; secondly, the depth image and a two-dimensional model are combined to form a three-dimensional significance model; thirdly, the weight between the depth data and the two-dimensional model is updated in an adaptive mode according to the distribution of the image gradation; fourthly, the image energy function gradient is calculated according to the three-dimensional significance model; fifthly, the points with the low significance are removed so that the image can be clipped. The depth information and the two-dimensional significance can be combined, and the clipping robustness can be enhanced.

Description

technical field [0001] The invention belongs to the field of image processing, and mainly relates to an image clipping method based on three-dimensional saliency. Background technique [0002] With the popularity of mobile devices such as smart phones and tablet computers, users are accustomed to uploading the photos they have taken to social networking sites to share with friends. Considering the different models of mobile devices used by users, how to make the photos shared by users can be well displayed on different terminals is one of the hot topics in the field of computer vision research. [0003] In response to the above problems, researchers have proposed some methods, but due to insufficient scaling and detection accuracy, the deformation of objects in the image and the loss of some important information have always plagued researchers. Recently, the article "Saliency detection for content-aware image resizing" was published on the IEEE International Conference on ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/00G06T15/30G06T11/00
CPCG06T15/30
Inventor 汪萌高欣健陈雁翔潘宜飞
Owner HEFEI UNIV OF TECH