Space salient region extraction method based on depth variation model

A variational model and region extraction technology, applied in the field of computer vision, can solve problems such as emphasizing

Inactive Publication Date: 2015-01-28
BEIJING UNIV OF TECH
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[0003] 3D reconstruction technology is a very important application in today's visi

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  • Space salient region extraction method based on depth variation model
  • Space salient region extraction method based on depth variation model

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[0107] The patent of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0108] The flow chart of the spatially saliency region extraction method based on the depth variational model is shown in Figure (1), which specifically includes the following steps.

[0109] Step 1. Camera calibration.

[0110] Establish the camera projection model, use the FOV model to realize the correction of the monocular camera, map the image pixel coordinates to the normalized coordinate plane, and combine the parameter matrix K in the camera to realize the image distortion correction, namely: u=Kx n .

[0111] Step 2. Build and solve the depth model.

[0112] Under the premise of PTAM accurate pose estimation, the depth map estimation algorithm based on the variational model is adopted to realize the acquisition of three-dimensional information of the current environment. This method is based on the variational optical flow estimation algorithm, ...

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Abstract

The invention belongs to the field of computer vision and relates to a space salient region extraction method based on a depth variation model. The method comprises the steps of firstly, correcting a camera, selecting a keyframe image sequence in an image, acquiring an original depth image with the discrete space sampling method, and constructing the energy function of a depth estimation model under the variation mode; then, solving the energy function with the primal-dual algorithm to achieve optimization of the depth model; conducting rough salient region extraction on the optimized depth image with the salient filter algorithm, and optimizing a salient region by means of an improved pulse coupling neural network to achieve accurate extraction of the depth salient region; finally, reconstructing a three-dimensional salient area. According to the method, based on the relevance between different coordinate systems under a specific visual angle and the perspective projection transformation relation of the camera, the energy function contains multi-view image restraint, the computation complexity of solving of an algorithm model is reduced, and depth image estimation quality is improved.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a method for extracting spatially salient regions based on a depth variation model. Background technique [0002] In our daily life, when we observe images, we are usually only interested in a small and salient part of the whole image or the whole video. Therefore, when the computer simulates the human visual system, it mainly simulates by detecting salient regions in the image. Saliency detection has gradually become a very important technology in the field of computer vision. In this field, how to use efficient methods to accurately detect and reconstruct spatially salient regions from large scenes is a very critical technology. There are many traditional saliency detection methods, but for some images, for example, there are close-up and distant views in the image, and the distant view is far away from the observer, the results of saliency detection for such images are not very c...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/55G06T2207/10016
Inventor 贾松敏徐涛张鹏李秀智宣璇
Owner BEIJING UNIV OF TECH
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