Depth Measurement Based on Pixel Number Variation and Speeded Up Robust Features (SURF)
碩士 === 國立臺灣師範大學 === 應用電子科技學系 === 100 === This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where speeded up robust features in the...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/26750087644131777790 |
| Summary: | 碩士 === 國立臺灣師範大學 === 應用電子科技學系 === 100 === This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where speeded up robust features in the images are extracted and matched. To remove mismatches from given putative point correspondences, an Identifying point correspondences by Correspondence Function (ICF) method is adopted in order to automatically select better reference points required by the pixel number variation method. Based on the displacement of the camera at two photographing distances, feature points of the objects in the images are used to determine the distance measurement of the target objects. After that, we use the obtained distance information of the feature points of the target objects to construct the depth map by using smooth interpolation.
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