In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...

Abstract We introduce and evaluate a novel camera pose estimation framework that uses the human head as calibration object. The proposed method facilitates extrinsic from 2D input images (NIR and/or RGB), while merely relying on detected head, without need for depth information. approach is applicable to single cameras or multi-camera networks. Our implementation fine-tuned deep learning-based ...

A method is introduced to track the object’s motion and estimate its pose from multiple cameras. We focus on direct estimation of the 3D pose from 2D image sequences. We derive a distributed solution that is equivalent to the centralized pose estimation from multiple cameras. Moreover, we show that, by using a proper rotation between each camera and a fixed camera view, we can rely on independe...

A parametric camera model and calibration procedures are developed for an outdoor active camera system with pan, tilt and zoom control. Unlike traditional methods, active camera motion plays a key role in the calibration process, and no special laboratory setups are required. Intrinsic parameters are estimated automatically by fitting parametric models to the optic flow induced by rotating and ...

The main purpose of this paper is not to present a new camera calibration algorithm or a new pose estimation method, but just to analyse the stability of the camera pose estimation using the Haralick observation which is based on the fact that there is suucient information on the 2D perspective projection of a rectangle of unknown size in 3D space to determine the three camera look angles. A br...

In this paper, we present an idea for a sparse approach to calculate camera poses from RGB images and laser distance measurements to perform subsequent facade reconstruction. The core idea is to guide the image recording process by choosing distinctive features with the laser range finder, e.g. building or window corners. From these distinctive features, we can establish correspondences between...