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Recent Advances in Computer Vision: Theories and Applications (Repost)

Posted By: AvaxGenius
Recent Advances in Computer Vision: Theories and Applications (Repost)

Recent Advances in Computer Vision: Theories and Applications by Mahmoud Hassaballah, Khalid M. Hosny
English | EPUB(True) | 2019 | 430 Pages | ISBN : 3030029999 | 118 MB

This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation.

Handbook of Face Recognition

Posted By: AvaxGenius
Handbook of Face Recognition

Handbook of Face Recognitionby Stan Z. Li, Anil K. Jain, Jiankang Deng
English | PDF EPUB (True) | 2023 (2024 Edition) | 473 Pages | ISBN : 3031435664 | 94.1 MB

The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions.

Pattern Recognition and Computer Vision (Repost)

Posted By: AvaxGenius
Pattern Recognition and Computer Vision (Repost)

Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I by Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha
English | PDF | 2018 | 603 Pages | ISBN : 303003397X | 121.8 MB

The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.
The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections:

Face Recognition Across the Imaging Spectrum

Posted By: AvaxGenius
Face Recognition Across the Imaging Spectrum

Face Recognition Across the Imaging Spectrum by Thirimachos Bourlai
English | PDF(True) | 2016 | 388 Pages | ISBN : 3319284991 | 16.7 MB

This authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an emphasis on systems that can be reliably used in operational environments. Insights are provided by an international team of pre-eminent experts into the processing of multispectral and hyperspectral face images captured under uncontrolled environments. These discussions cover a variety of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different biometric modalities are also examined, including face, periocular and iris. This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security.

Recent Advances in Computer Vision: Theories and Applications

Posted By: AvaxGenius
Recent Advances in Computer Vision: Theories and Applications

Recent Advances in Computer Vision: Theories and Applications by Mahmoud Hassaballah, Khalid M. Hosny
English | EPUB(True) | 2019 | 430 Pages | ISBN : 3030029999 | 118 MB

This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation.

Build a Face Recognition Solution with Microsoft Azure Face API

Posted By: IrGens
Build a Face Recognition Solution with Microsoft Azure Face API

Build a Face Recognition Solution with Microsoft Azure Face API
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h | 490 MB
Instructor: Axel Sirota

Complete Face Recognition App Machine Learning Django Heroku

Posted By: yoyoloit
Complete Face Recognition App Machine Learning Django Heroku

Complete Face Recognition App Machine Learning Django Heroku
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.74 GB | Duration: 6h 50m

Create and Deploy Face and Emotion Recognition project in Heroku Cloud with Python, OpenCV, Machine Learning & Django