Results 1 - 10 of 3,599

MonoSLAM: Realtime single camera SLAM

by Andrew J. Davison, Ian D. Reid, Nicholas D. Molton, Olivier Stasse - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2007
"... Abstract—We present a real-time algorithm which can recover the 3D trajectory of a monocular camera, moving rapidly through a previously unknown scene. Our system, which we dub MonoSLAM, is the first successful application of the SLAM methodology from mobile robotics to the “pure vision ” domain of ..."
Abstract - Cited by 490 (26 self) - Add to MetaCart
an active approach to mapping and measurement, the use of a general motion model for smooth camera movement, and solutions for monocular feature initialization and feature orientation estimation. Together, these add up to an extremely efficient and robust algorithm which runs at 30 Hz with standard PC

An Efficient Error-Bounded General Camera Model

by unknown authors
"... Camera models are essential infrastructure in computer vision, computer graphics, and visualization. The most frequently used camera models are based on the singleviewpoint constraint. Removing this constraint brings the advantage of improved flexibility in camera design. However, prior camera model ..."
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models that eliminate the singleviewpoint constraint are inefficient. We describe an approximate model for coherent general cameras, which projects efficiently with user chosen accuracy. The rays of the general camera are partitioned into simple cameras that approximate the camera locally. The simple

Real-time simultaneous localisation and mapping with a single camera

by Andrew J. Davison , 2003
"... Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than under the off-line processing conditions under which most successful structure from motion work has been achieved. This t ..."
Abstract - Cited by 439 (21 self) - Add to MetaCart
Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than under the off-line processing conditions under which most successful structure from motion work has been achieved

Multi-view geometry for general camera models

by Peter Sturm, Srikumar Ramalingam, Suresh Lodha - PROCEEDINGS OF THE 2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR’05) - VOLUME 1 , 2005
"... We consider calibration and structure from motion tasks for a previously introduced, highly general imaging model, where cameras are modeled as possibly unconstrained sets of projection rays. This allows to describe most existing camera types (at least for those operating in the visible domain), in ..."
Abstract - Cited by 34 (4 self) - Add to MetaCart
We consider calibration and structure from motion tasks for a previously introduced, highly general imaging model, where cameras are modeled as possibly unconstrained sets of projection rays. This allows to describe most existing camera types (at least for those operating in the visible domain

Multi-View Geometry for General Camera Models

by unknown authors
"... We consider the structure from motion problem for a previously introduced, highly general imaging model, where cameras are modeled as possibly unconstrained sets of projection rays. This allows to describe most existing camera types, including pinhole cameras, sensors with radial or more general dis ..."
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We consider the structure from motion problem for a previously introduced, highly general imaging model, where cameras are modeled as possibly unconstrained sets of projection rays. This allows to describe most existing camera types, including pinhole cameras, sensors with radial or more general

Efficient region tracking with parametric models of geometry and illumination

by Gregory D. Hager, Peter N. Belhumeur - PAMI , 1998
"... Abstract—As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the object across the image plane. Rather, complications arise due to the fact that the object undergoes changes in pose relative to the v ..."
Abstract - Cited by 563 (30 self) - Add to MetaCart
to the viewing camera, changes in illumination relative to light sources, and may even become partially or fully occluded. In this paper, we develop an efficient, general framework for object tracking—one which addresses each of these complications. We first develop a computationally efficient method

Object Tracking: A Survey

by Alper Yilmaz, Omar Javed, Mubarak Shah , 2006
"... The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends. Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns o ..."
Abstract - Cited by 701 (7 self) - Add to MetaCart
The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends. Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns

Compressive sensing

by Richard Baraniuk - IEEE Signal Processing Mag , 2007
"... The Shannon/Nyquist sampling theorem tells us that in order to not lose information when uniformly sampling a signal we must sample at least two times faster than its bandwidth. In many applications, including digital image and video cameras, the Nyquist rate can be so high that we end up with too m ..."
Abstract - Cited by 696 (62 self) - Add to MetaCart
The Shannon/Nyquist sampling theorem tells us that in order to not lose information when uniformly sampling a signal we must sample at least two times faster than its bandwidth. In many applications, including digital image and video cameras, the Nyquist rate can be so high that we end up with too

Generalized camera calibration including fish-eye lenses

by Donald B. Gennery, I. I. Background - International Journal of Computer Vision, July 2003 , 2002
"... Abstract. A method is described for accurately calibrating cameras including radial lens distortion, by using known points such as those measured from a calibration fixture. A way of adding decentering distortion also is described. Both the intrinsic and extrinsic parameters are calibrated in a sing ..."
Abstract - Cited by 25 (0 self) - Add to MetaCart
Abstract. A method is described for accurately calibrating cameras including radial lens distortion, by using known points such as those measured from a calibration fixture. A way of adding decentering distortion also is described. Both the intrinsic and extrinsic parameters are calibrated in a

Laplacian eigenmaps and spectral techniques for embedding and clustering.

by Mikhail Belkin , Partha Niyogi - Proceeding of Neural Information Processing Systems, , 2001
"... Abstract Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami op erator on a manifold , and the connections to the heat equation , we propose a geometrically motivated algorithm for constructing a representation for data sampled from a low dimensional manifold embedded in ..."
Abstract - Cited by 668 (7 self) - Add to MetaCart
of t he same object is the number of degrees of freedom of the camera -in fact the space has the natural structure of a manifold embedded in rn: n2 . While there is a large body of work on dimensionality reduction in general, most existing approaches do not explicitly take into account the structure
Results 1 - 10 of 3,599