{"product_id":"guide-to-3d-vision-computation-geometric-analysis-and-implementation-9783319839554","title":"Guide to 3D Vision Computation: Geometric Analysis and Implementation","description":"\u003cp\u003e • Author(s): Kenichi Kanatani\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Software Development \u0026amp; Engineering - Computer Graphics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis classroom-tested and easy-to-understand textbook\/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other textbooks on computer vision, this \u003ci\u003eGuide to 3D Vision Computation\u003c\/i\u003e takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system. The theoretical background is then briefly explained afterwards, highlighting how one can quickly and simply obtain the desired result without knowing the derivation of the mathematical detail.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eReviews the fundamental algorithms underlying computer vision, and their implementation\u003c\/li\u003e \u003cli\u003eDescribes the latest techniques for 3D reconstruction from multiple images\u003c\/li\u003e \u003cli\u003eSummarizes the mathematical theory behind statistical error analysis for general geometric estimation problems\u003c\/li\u003e \u003cli\u003eOffers examples of experimental results, enabling the reader to get a feeling of what can be done using each procedure\u003c\/li\u003e \u003cli\u003ePresents derivations and justifications as problems at the end of each chapter, with solutions supplied at the end of the book\u003c\/li\u003e \u003cli\u003eExplains the historical background for each topic in the supplemental notes at the end of each chapter\u003c\/li\u003e \u003cli\u003eProvides additional material at an associated website, include sample code for typical procedures to help readers implement the algorithms described in the book\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis accessible work will be of great value to students on introductory computer vision courses. Serving as both as a practical programming guidebook and a useful reference on mathematics for computer vision, it is suitable for practitioners seeking to implement computer vision algorithms as well as for theoreticians wishing to know the underlying mathematical detail.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45276692578455,"sku":"9783319839554","price":3672.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319839554.webp?v=1769286378","url":"https:\/\/atlanticbooks.com\/products\/guide-to-3d-vision-computation-geometric-analysis-and-implementation-9783319839554","provider":"Atlantic Books","version":"1.0","type":"link"}