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The Geometry of Multiple Images: The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications
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TLDR
The state of knowledge in one subarea of vision is described, the geometric laws that relate different views of a scene from the perspective of various types of geometries, which is a unified framework for thinking about many geometric problems relevant to vision.Abstract:
From the Publisher:
with contributions from Theo Papadopoulo
Over the last forty years, researchers have made great strides in elucidating the laws of image formation, processing, and understanding by animals, humans, and machines. This book describes the state of knowledge in one subarea of vision, the geometric laws that relate different views of a scene. Geometry, one of the oldest branches of mathematics, is the natural language for describing three-dimensional shapes and spatial relations. Projective geometry, the geometry that best models image formation, provides a unified framework for thinking about many geometric problems relevant to vision. The book formalizes and analyzes the relations between multiple views of a scene from the perspective of various types of geometries. A key feature is that it considers Euclidean and affine geometries as special cases of projective geometry.
Images play a prominent role in computer communications. Producers and users of images, in particular three-dimensional images, require a framework for stating and solving problems. The book offers a number of conceptual tools and theoretical results useful for the design of machine vision algorithms. It also illustrates these tools and results with many examples of real applications.read more
Citations
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Book ChapterDOI
Monocular Pose Estimation for an Unmanned Aerial Vehicle Using Spectral Features
TL;DR: Pose estimation of Unmanned Aerial Vehicles using cameras using cameras is currently a very active research topic in computer and robotic vision, with special application in GPS-denied environments.
Aplicación de un algoritmo de cálculo de disparidad para la estimación de profundidades usando cámaras estéreo
TL;DR: In this article, un sistema for estimación de profundidad using un par estereo de camaras was presented, basado en un universo.
Journal ArticleDOI
Landing System Development Based on Inverse Homography Range Camera Fusion (IHRCF)
Mohammad Sefidgar,René Landry +1 more
TL;DR: The conventional landmark detection algorithm can be ameliorated by incorporating sensor fusion for cameras with lower radial distortion by the IHRCF algorithm, which outperformed the AprilTag-only detection approach significantly.
Proceedings ArticleDOI
Effects of camera location on the reconstruction of 3D flare trajectory with two cameras
TL;DR: In this paper, the effects of camera placement on the flare trajectory estimation performance were investigated by simulations. And the authors used two sources of error to increase the fidelity of the simulation, one is used to model the uncertainties in the determination of the camera view vectors, i.e. the orientations of the cameras are measured noisy.
Book ChapterDOI
Stereo matching by interpolation
Bodong Liang,Ronald Chung +1 more
TL;DR: This paper presents an approach, Interpolation-based Iterative Stereo Matching (IISM), that regards stereo matching as a mapping that maps image position from one view to the corresponding position in the other view, and interpolation for the mapping is to be learned or interpolated from some samples.