We describe an approach for simultaneous localization and calibration of a stream of range images. Our approach jointly optimizes the camera trajectory and a calibration function that corrects the camera’s unknown nonlinear dis-tortion. Experiments with real-world benchmark data and synthetic data show that our approach increases the accu-racy of camera trajectories and geometric models estimated from range video produced by consumer-grade cameras. 1
Geometric camera calibration has been a well-studied area in computer vision. However, with the em...
Abstract — A framework for online simultaneous localization, mapping and self-calibration is present...
Person tracking across non-overlapping cameras and other types of video analytics benefit from spati...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
This paper focuses on the estimation of the intrinsic camera parameters and the trajectory of the ca...
This dissertation focuses on the estimation of the intrinsic camera parameters and the trajectory of...
An important recent development in the visual information acquisition field is the emergence of low ...
During the past few decades, an explosive development of multiple camera systems has occurred. For e...
peer reviewedMany applications require the use of multiple cameras to cover a larger volume. In this...
This paper introduces a method to calibrate a wide area system of unsynchronized cameras with respec...
Significant instrumental systematic errors are known to exist in data captured with range cameras us...
In this work we present a flexible approach for calibrating an array of multiple stationary color an...
Abstract: Camera calibration is an important and sensitive step in 3D environment reconstruction by ...
Camera calibration is an indispensable step for augmented reality or image guided applications where...
This paper describes a novel method to localize the position and the orientation of smart cameras in...
Geometric camera calibration has been a well-studied area in computer vision. However, with the em...
Abstract — A framework for online simultaneous localization, mapping and self-calibration is present...
Person tracking across non-overlapping cameras and other types of video analytics benefit from spati...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
This paper focuses on the estimation of the intrinsic camera parameters and the trajectory of the ca...
This dissertation focuses on the estimation of the intrinsic camera parameters and the trajectory of...
An important recent development in the visual information acquisition field is the emergence of low ...
During the past few decades, an explosive development of multiple camera systems has occurred. For e...
peer reviewedMany applications require the use of multiple cameras to cover a larger volume. In this...
This paper introduces a method to calibrate a wide area system of unsynchronized cameras with respec...
Significant instrumental systematic errors are known to exist in data captured with range cameras us...
In this work we present a flexible approach for calibrating an array of multiple stationary color an...
Abstract: Camera calibration is an important and sensitive step in 3D environment reconstruction by ...
Camera calibration is an indispensable step for augmented reality or image guided applications where...
This paper describes a novel method to localize the position and the orientation of smart cameras in...
Geometric camera calibration has been a well-studied area in computer vision. However, with the em...
Abstract — A framework for online simultaneous localization, mapping and self-calibration is present...
Person tracking across non-overlapping cameras and other types of video analytics benefit from spati...