Tekijä: Alberto Del Bimbo (ed.); Rita Cucchiara (ed.); Stan Sclaroff (ed.); Giovanni Maria Farinella (ed.); Tao Mei (ed.); Bertini Kustantaja: Springer (2021) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Alberto Del Bimbo (ed.); Rita Cucchiara (ed.); Stan Sclaroff (ed.); Giovanni Maria Farinella (ed.); Tao Mei (ed.); Bertini Kustantaja: Springer (2021) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Shai Avidan (ed.); Gabriel Brostow (ed.); Moustapha Cissé (ed.); Giovanni Maria Farinella (ed.); Tal Hassner (ed.) Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Springer Sivumäärä: 433 sivua Asu: Kovakantinen kirja Painos: 2013 Julkaisuvuosi: 2013, 07.10.2013 (lisätietoa) Kieli: Englanti
This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.