4937925Scale Invariant Feature Transformhttps://www.gandhi.com.mx/scale-invariant-feature-transform-6610000557592/phttps://gandhi.vtexassets.com/arquivos/ids/4490529/image.jpg?v=6385029192484300007979MXNOne Billion KnowledgeableInStock/Ebooks/What is Scale Invariant Feature TransformSIFT, which stands for scale-invariant feature transform, is a method for computer vision that was developed by David Lowe in 1999. Its purpose is to identify, describe, and coincide with local features in images. Object recognition, robotic mapping and navigation, picture stitching, three-dimensional modeling, gesture recognition, video tracking, individual identification of wildlife, and match moving are some of the applications that can be used.How you will benefit(I) Insights, and validations about the following topics:Chapter 1: Scale-invariant feature transformChapter 2: Edge detectionChapter 3: Scale spaceChapter 4: Gaussian blurChapter 5: Feature (computer vision)Chapter 6: Corner detectionChapter 7: Affine shape adaptationChapter 8: Hessian affine region detectorChapter 9: Principal curvature-based region detectorChapter 10: Oriented FAST and rotated BRIEF(II) Answering the public top questions about scale invariant feature transform.(III) Real world examples for the usage of scale invariant feature transform in many fields.Who this book is forProfessionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Scale Invariant Feature Transform....4678719Scale Invariant Feature Transform7979https://www.gandhi.com.mx/scale-invariant-feature-transform-6610000557592/phttps://gandhi.vtexassets.com/arquivos/ids/4490529/image.jpg?v=638502919248430000InStockMXN99999DIEbook20246610000557592_W3siaWQiOiIzNjhhODBiYS1jY2ZiLTQ2N2EtYmRjNi1hOGI1NjBlMDI2ODkiLCJsaXN0UHJpY2UiOjg1LCJkaXNjb3VudCI6MCwic2VsbGluZ1ByaWNlIjo4NSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6IklwcCIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDQtMzBUMTI6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d6610000557592_What is Scale Invariant Feature TransformSIFT, which stands for scale-invariant feature transform, is a method for computer vision that was developed by David Lowe in 1999. Its purpose is to identify, describe, and coincide with local features in images. Object recognition, robotic mapping and navigation, picture stitching, three-dimensional modeling, gesture recognition, video tracking, individual identification of wildlife, and match moving are some of the applications that can be used.How you will benefit(I) Insights, and validations about the following topics:Chapter 1: Scale-invariant feature transformChapter 2: Edge detectionChapter 3: Scale spaceChapter 4: Gaussian blurChapter 5: Feature (computer vision)Chapter 6: Corner detectionChapter 7: Affine shape adaptationChapter 8: Hessian affine region detectorChapter 9: Principal curvature-based region detectorChapter 10: Oriented FAST and rotated BRIEF(II) Answering the public top questions about scale invariant feature transform.(III) Real world examples for the usage of scale invariant feature transform in many fields.Who this book is forProfessionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Scale Invariant Feature Transform....6610000557592_One Billion Knowledgeablelibro_electonico_6610000557592_6610000557592Fouad SabryInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/content2connect_drm-epub-08aa5d2d-2378-4313-81bd-99d855398f24.epub2024-04-30T00:00:00+00:00One Billion Knowledgeable