9781332093557 - scalable parallel geometric hashing for hypercube simd architectures (classic reprint) de rigoutsos, isidore (3 resultados)
- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,30
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,36
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 15 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
- Impresión bajo demanda
Librería: Forgotten Books, London, Reino UnidoForgotten Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 15,38
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New. Print on Demand. This book introduces a new method to model-based object recognition using a parallel geometric hashing algorithm for hypercube SIMD architectures. The algorithm executes in parallel, reducing search time, and enabling fast recognition of objects independent of translation, rotation, an…d scaling. The author provides multiple building-block algorithms used in the approach, along with a novel radix-sort based histogramming algorithm. The book has broad historical context within both computer science and engineering, discussing the evolution of object recognition. Thematic depth includes analysis of efficient parallel implementation, along with examination of the effectiveness of the algorithm, which can locate embedded objects even when they are obscured or misplaced. This book will appeal to students, academics, and practitioners in computer science, image processing, and engineering. Its insights are highly significant within the field of computer vision and pave the way for exciting new developments. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
