3D Pose Estimation Method of Space Object Based on Image Sequence
A technology of three-dimensional posture and space object, which is applied in image analysis, image enhancement, image data processing, etc., to achieve the effect of simplifying the difficulty and achieving good results
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specific Embodiment approach 1
[0034] Specific implementation mode 1. Combination figure 2 Describe this embodiment, the method for estimating the three-dimensional pose of a space object based on image sequences described in this embodiment, the specific process of this method is:
[0035] Step 1. Preprocessing the observation image;
[0036] Step 2, image acquisition is performed on the three-dimensional attitude of the space target, and an object matching image library is obtained;
[0037] Step 3, using the scale-invariant feature algorithm to match the observed image preprocessed in step 1 with the image in the target matching image library in step 2, and filter to obtain the most similar image;
[0038] Step 4, reversely calculate the three-dimensional attitude parameter value of the space object, and output the attitude angle of the space object.
[0039] In this embodiment, Professor David G. Lowe of the University of British Columbia proposed a feature detection method based on invariant technol...
specific Embodiment approach 2
[0040] Specific embodiment 2. This embodiment is a further description of specific embodiment 1. The preprocessing of the observed image in step 1 is to perform noise reduction or enhancement processing on the observed image.
[0041] In this embodiment, the purpose of preprocessing is to obtain a better feature point extraction effect when using the SIFT algorithm.
specific Embodiment approach 3
[0042] Specific implementation mode three, this implementation mode is to further explain specific implementation mode one, the specific process of obtaining the target matching image library described in step 2 is:
[0043] Obtain a 3D model of a space target, define the initial 3D attitude parameter value (0,0,0) for the 3D model, change the initial 3D attitude parameter value (0,0,0), construct a model library, and obtain a target matching image library .
[0044] In this embodiment, the images in the object matching image library contain the three-dimensional attitude parameter information of the space object, and each image can independently determine the three-dimensional attitude parameters of the space object in the current state.
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