Feature Points Detection and Image Matching
Image matching is a part of many computer vision or image processing applications, such as object recognition, registration, panoramic images and image mosaics, three‐dimensional (3D) reconstruction and modeling, stereovision or even indexing and searching for images via content. This chapter examin...
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| creator | Lucas, Laurent Loscos, Céline Remion, Yannick |
| description | Image matching is a part of many computer vision or image processing applications, such as object recognition, registration, panoramic images and image mosaics, three‐dimensional (3D) reconstruction and modeling, stereovision or even indexing and searching for images via content. This chapter examines a general scenario where the amount of visual information is limited and where no prior knowledge is available. The current process of image matching consists of three main stages: detecting the feature points/regions; calculating the descriptors such as Daisy descriptor and multi‐scale oriented patches (MOPS) descriptor, in this region, normalized if necessary; and matching the feature points of the two images using their descriptors and estimating the geometric transformation by removing false matches. |
| doi_str_mv | 10.1002/9781118761915.ch6 |
| format | Book Chapter |
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| identifier | ISBN: 184821507X |
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| language | eng |
| recordid | cdi_wiley_ebooks_10_1002_9781118761915_ch6_ch6 |
| source | O'Reilly Online Learning: Academic/Public Library Edition |
| subjects | Computer science Daisy descriptor false matches feature point descriptors feature points image match multi‐scale oriented patches (MOPS) descriptor |
| title | Feature Points Detection and Image Matching |
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