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Hacking Electronics: An Illustrated DIY Guide for Makers and Hobbyists
Hacking Electronics: An Illustrated DIY Guide for Makers and Hobbyists

Bring your electronic inventions to life!

"This full-color book is impressive...there are some really fun projects!" -GeekDad, Wired.com

Who needs an electrical engineering degree? This intuitive guide shows how to wire, disassemble, tweak, and re-purpose everyday devices quickly and easily. Packed with...

Spatial Audio Processing: MPEG Surround and Other Applications
Spatial Audio Processing: MPEG Surround and Other Applications

This book collects a wealth of information about spatial audio coding into one comprehensible volume. It is a thorough reference to the 3GPP and MPEG Parametric Stereo standards and the MPEG Surround multi-channel audio coding standard. It describes key developments in coding techniques, which is an important factor in the optimization of...

Programming Computer Vision with Python: Tools and algorithms for analyzing images
Programming Computer Vision with Python: Tools and algorithms for analyzing images
Today, images and video are everywhere. Online photo-sharing sites and social networks have them in the billions. Search engines will produce images of just about any conceivable query. Practically all phones and computers come with built-in cameras. It is not uncommon for people to have many gigabytes of photos and...
Practical OpenCV
Practical OpenCV

Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.

Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you
...

3D Computer Vision: Efficient Methods and Applications (X.media.publishing)
3D Computer Vision: Efficient Methods and Applications (X.media.publishing)

This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and...

An Introduction to 3D Computer Vision Techniques and Algorithms
An Introduction to 3D Computer Vision Techniques and Algorithms

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is...

Depth Map and 3D Imaging Applications: Algorithms and Technologies
Depth Map and 3D Imaging Applications: Algorithms and Technologies
This book has three editors, and all of us are involved in image processing and computer vision research. We have contributed to the 3D imaging research, especially in the field of passive optical 3D shape recovery methods. Over the last decade, significant progress had been made in 3D imaging research. As a result, 3D imaging...
Digital Color Image Processing
Digital Color Image Processing
Color information is gaining an ever-greater importance in digital image processing. Nevertheless, the leap to be mastered by the transition from scalar to vector-valued image functions is not yet generally addressed in most textbooks on digital image processing. The main goal of this book is to clarify the significance of vector-valued color image...
Image Registration: Principles, Tools and Methods (Advances in Computer Vision and Pattern Recognition)
Image Registration: Principles, Tools and Methods (Advances in Computer Vision and Pattern Recognition)
Image registration is the process of finding correspondence between all points in two images of a scene. This correspondence is required in stereo depth perception, 3-D scene reconstruction, object detection and recognition, change detection, image fusion, object tracking and motion analysis. Analysis of two or more images of a...
Handbook of Mathematical Models in Computer Vision
Handbook of Mathematical Models in Computer Vision
David Marr's theory was a pioneering step towards understanding visual perception.
In his view human vision was based on a complete surface reconstruction
of the environment that was then used to address visual subtasks. This approach
was proven to be insufficient by neuro-biologists and complementary ideas from
statistical
...
Computer Vision: Models, Learning, and Inference
Computer Vision: Models, Learning, and Inference

There are already many computer vision textbooks, and it is reasonable to question the need for another. Let me explain why I chose to write this volume.

Computer vision is an engineering discipline; we are primarily motivated by the real-world concern of...

Computer Vision Metrics: Survey, Taxonomy, and Analysis
Computer Vision Metrics: Survey, Taxonomy, and Analysis

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors...

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