Book Image

OpenCV 3 Blueprints

By : Joseph Howse, Puttemans, Sinha
Book Image

OpenCV 3 Blueprints

By: Joseph Howse, Puttemans, Sinha

Overview of this book

Computer vision is becoming accessible to a large audience of software developers who can leverage mature libraries such as OpenCV. However, as they move beyond their first experiments in computer vision, developers may struggle to ensure that their solutions are sufficiently well optimized, well trained, robust, and adaptive in real-world conditions. With sufficient knowledge of OpenCV, these developers will have enough confidence to go about creating projects in the field of computer vision. This book will help you tackle increasingly challenging computer vision problems that you may face in your careers. It makes use of OpenCV 3 to work around some interesting projects. Inside these pages, you will find practical and innovative approaches that are battle-tested in the authors’ industry experience and research. Each chapter covers the theory and practice of multiple complementary approaches so that you will be able to choose wisely in your future projects. You will also gain insights into the architecture and algorithms that underpin OpenCV’s functionality. We begin by taking a critical look at inputs in order to decide which kinds of light, cameras, lenses, and image formats are best suited to a given purpose. We proceed to consider the finer aspects of computational photography as we build an automated camera to assist nature photographers. You will gain a deep understanding of some of the most widely applicable and reliable techniques in object detection, feature selection, tracking, and even biometric recognition. We will also build Android projects in which we explore the complexities of camera motion: first in panoramic image stitching and then in video stabilization. By the end of the book, you will have a much richer understanding of imaging, motion, machine learning, and the architecture of computer vision libraries and applications!
Table of Contents (9 chapters)
8
Index

Introducing the concept of panorama

A panorama image gives the viewer a much broader field of view than a normal image and allows them to fully experience a scene. By extending the range of panorama to 360 degrees, viewers can simulate turning their head around. A panorama image can be created by stitching a sequence of overlapping images.

The following figure shows a demonstration of a panorama image captured with our application.

Introducing the concept of panorama

A panorama image captured in an horizontal direction

In order to capture a panorama image, you must capture many images of the scene at different angles, as in the following figure. For example, you take your first picture at the left side of the room. Then, you move the phone straight to a new angle to start capturing. All the images will be stitched together to create a panorama image.

Introducing the concept of panorama

Illustration showing how you pan the phone to create a panorama image

Normally, a panorama application only supports capturing images in horizontal. With the stitching module in...