Motion and Structure Estimation in Noisy Monocular Image Sequences: Specialization to Planar Motion
Author: Victor Charles Aitken
Publisher:
Published: 1991
Total Pages: 482
ISBN-13:
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Author: Victor Charles Aitken
Publisher:
Published: 1991
Total Pages: 482
ISBN-13:
DOWNLOAD EBOOKAuthor: Ting-Hu Wu
Publisher:
Published: 1993
Total Pages: 316
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1993
Total Pages: 1040
ISBN-13:
DOWNLOAD EBOOKAuthor: Dimitrios S. Kalivas
Publisher:
Published: 1989
Total Pages: 250
ISBN-13:
DOWNLOAD EBOOKAuthor: Javier Civera
Publisher: Springer
Published: 2011-11-09
Total Pages: 180
ISBN-13: 3642248349
DOWNLOAD EBOOKThe fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community. The associated line of research has been known as Structure from Motion (SfM). An intense research effort during the latest decades has produced spectacular advances; the topic has reached a consistent state of maturity and most of its aspects are well known nowadays. 3D vision has immediate applications in many and diverse fields like robotics, videogames and augmented reality; and technological transfer is starting to be a reality. This book describes one of the first systems for sparse point-based 3D reconstruction and egomotion estimation from an image sequence; able to run in real-time at video frame rate and assuming quite weak prior knowledge about camera calibration, motion or scene. Its chapters unify the current perspectives of the robotics and computer vision communities on the 3D vision topic: As usual in robotics sensing, the explicit estimation and propagation of the uncertainty hold a central role in the sequential video processing and is shown to boost the efficiency and performance of the 3D estimation. On the other hand, some of the most relevant topics discussed in SfM by the computer vision scientists are addressed under this probabilistic filtering scheme; namely projective models, spurious rejection, model selection and self-calibration.
Author: Ting-Hu Wu
Publisher:
Published: 1992
Total Pages: 51
ISBN-13:
DOWNLOAD EBOOKExperimental results from simulated imagery as well as several real image sequences are included. For the simulated imagery, the bias and the variance of the estimators are studied by the Monte Carlo method; while for the real imagery, the ground truth of the motion and structure parameters (when available) is compared with the computed results."
Author: Juyang Weng
Publisher: Springer
Published: 1993
Total Pages: 472
ISBN-13:
DOWNLOAD EBOOKAuthor: Gem-Sun Jason Young
Publisher:
Published: 1991
Total Pages: 384
ISBN-13:
DOWNLOAD EBOOKAuthor: Wilhelm Burger
Publisher: Springer Science & Business Media
Published: 1992-06-30
Total Pages: 234
ISBN-13: 9780792392514
DOWNLOAD EBOOKMobile robots operating in real-world, outdoor scenarios depend on dynamic scene understanding for detecting and avoiding obstacles, recognizing landmarks, acquiring models, and for detecting and tracking moving objects. Motion understanding has been an active research effort for more than a decade, searching for solutions to some of these problems; however, it still remains one of the more difficult and challenging areas of computer vision research. Qualitative Motion Understanding describes a qualitative approach to dynamic scene and motion analysis, called DRIVE (Dynamic Reasoning from Integrated Visual Evidence). The DRIVE system addresses the problems of (a) estimating the robot's egomotion, (b) reconstructing the observed 3-D scene structure; and (c) evaluating the motion of individual objects from a sequence of monocular images. The approach is based on the FOE (focus of expansion) concept, but it takes a somewhat unconventional route. The DRIVE system uses a qualitative scene model and a fuzzy focus of expansion to estimate robot motion from visual cues, to detect and track moving objects, and to construct and maintain a global dynamic reference model.
Author: Andreas Wedel
Publisher: Springer Science & Business Media
Published: 2011-08-17
Total Pages: 133
ISBN-13: 0857299654
DOWNLOAD EBOOKThis book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, culminating in the development of a novel, accurate and robust optic flow method. Features: reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms; investigates the use of residual images for optical flow; examines methods for deriving motion from stereo image sequences; analyses the error characteristics for motion variables, and derives scene flow metrics for movement likelihood and velocity; introduces a framework for scene flow-based moving object detection and segmentation; includes Appendices on data terms and quadratic optimization, and scene flow implementation using Euler-Lagrange equations, in addition to a helpful Glossary.