Computer vision

Interactive curve modeling techniques and their applications are extremely useful inanumber ofacademicandindustrialsettings.

The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component alignment and photogrammetry, among others.

Biometrics technology continues to stride forward with its wider acceptance and its perceived need in various new security facets of modern society.

Digital image processing and machine vision have grown considerably during the last few decades.

Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes.

This is a hugely informative and highly practical book on a subject that is extremely relevant in today's world, where more and more households own and take pictures on digital cameras.

Rapid and unprecedented population ageing poses a serious social and economic challenge across the developed world.

"e;Automatic Autocorrelation and Spectral Analysis"e; gives random data a language to communicate the information they contain objectively.

The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?

The last decade of the 20th century has witnessed a surge of interest in num- ical, computation-intensive approaches to information processing.

Recently, there has been a dramatic increase in the use of sensors in the non-visible bands.

The use of computers to recognize humans from physical and behavioral traits dates back to the digital computer evolution of the 1960s.

The sampling lattice used to digitize continuous image data is a signi?

The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification.

Although deep learning models have achieved great progress in vision, speech, language, planning, control, and many other areas, there still exists a large performance gap between deep learning models and the human cognitive system.

Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain.

The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022.

This book constitutes the refereed proceedings of CVM 2024, the 12th International Conference on Computational Visual Media, held in Wellington, New Zealand, in April 2024.

This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3-5, 2024.

The five-volume set CCIS 1832-1836 contains the extended abstracts of the posters presented during the 25th International Conference on Human-Computer Interaction, HCII 2023, which was held as a hybrid event in Copenhagen, Denmark, in July 2023.

This book constitutes the revised selected papers from the 30th International Workshop on Frontiers of Computer Vision, IW-FCV 2024, held in Tokyo, Japan, in February 19-21, 2024.

This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3-5, 2024.

Image classification is a critical component in computer vision tasks and has numerous applications.

As an efficient 3D vision solution, point clouds have been widely applied into diverse engineering scenarios, including immersive media communication, autonomous driving, reverse engineering, robots, topography mapping, digital twin city, medical analysis, digital museum, etc.

As an efficient 3D vision solution, point clouds have been widely applied into diverse engineering scenarios, including immersive media communication, autonomous driving, reverse engineering, robots, topography mapping, digital twin city, medical analysis, digital museum, etc.

This three-volume set LNCS 14706-14708 constitutes the refereed proceedings of the 16th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2024, held as part of the 26th International Conference, HCI International 2024, in Washington, DC, USA, during June 29 - July 4, 2024.

This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3-5, 2024.

This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis.

This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications.

This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world.

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning.

This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision.

This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision.

This book looks at the convergent nature of technology and its relationship to the field of photogrammetry and 3D design.

This textbook provides an accessible general introduction to the essential topics in computer vision.

This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search.

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods.

This book presents a systematic introduction to the latest developments in video text detection.

Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks.

This revised and expanded new edition of an internationally successful classic presents an accessible introduction to the key methods in digital image processing for both practitioners and teachers.

This book introduces the statistical software R to the image processing community in an intuitive and practical manner.

This work focuses on central catadioptric systems, from the early step of calibration to high-level tasks such as 3D information retrieval.

Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in signal/image processing.

This book surveys the state of the art in multidimensional, physically-correct visual texture modeling.

Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated.

This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding.

The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications.

Non-photorealistic rendering (NPR) is a combination of computer graphics and computer vision that produces renderings in various artistic, expressive or stylized ways such as painting and drawing.

Opening with a detailed review of existing techniques for selective encryption, this text then examines algorithms that combine both encryption and compression.

Research into the methods and techniques used in simulating crowds has developed extensively within the last few years, particularly in the areas of video games and film.