A fully pipelined FPGA accelerator for scale invariant feature transform keypoint descriptor matching
نویسندگان
چکیده
منابع مشابه
Intensity Based Distinctive Feature Extraction and Matching Using Scale Invariant Feature Transform for Indian Sign Language
India, having less awareness towards the deaf and dumb peoples leads to increase the communication gap between deaf and hard hearing community. Sign language is commonly developed for deaf and hard hearing peoples to convey their message by generating the different sign pattern. The scale invariant feature transform has been used to perform reliable matching between different images of the same...
متن کاملA New Evaluation Framework and Image Dataset for Keypoint Extraction and Feature Descriptor Matching
Key point extraction and description mechanisms play a crucial role in image matching, where several image points must be accurately identified to robustly estimate a transformation or to recognize an object or a scene. New procedures for keypoint extraction and for feature description are continuously emerging. In order to assess them accurately, normalized data and evaluation protocols are re...
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Scale-invariant feature transform (SIFT) transforms a grayscale image into scale-invariant coordinates of local features that are invariant to image scale, rotation, and changing viewpoints. Because of its scale-invariant properties, SIFT has been successfully used for object recognition and content-based image retrieval. The biggest drawback of SIFT is that it uses only grayscale information a...
متن کاملEnd-to-end learning of keypoint detector and descriptor for pose invariant 3D matching
Finding correspondences between images or 3D scans is at the heart of many computer vision and image retrieval applications and is often enabled by matching local keypoint descriptors. Various learning approaches have been applied in the past to different stages of the matching pipeline, considering detector, descriptor, or metric learning objectives. These objectives were typically addressed s...
متن کامل-SIFT: -Dimensional Scale Invariant Feature Transform
We propose the -dimensional scale invariant feature transform ( -SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method’s performance to other related features. The proposed features extend the concepts used for 2-D scalar images in the computer vision SIFT technique for extracting and matching distinctive scale invarian...
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ژورنال
عنوان ژورنال: Microprocessors and Microsystems
سال: 2020
ISSN: 0141-9331
DOI: 10.1016/j.micpro.2019.102919