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)
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
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
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 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...
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