Abstract Spacecraft pose estimation is an important technology to maintain or change the spacecraft orientation in space. For estimation, when two are relatively distant, depth information of space point less than that measuring distance, so camera model can be seen as a weak perspective projection model. In this paper, algorithm based on four symmetrical points outline proposed. The analytical...

In this paper, we propose a novel method for generating 3D line segment based model from an image sequence taken with a RGB-D camera. Constructing 3D geometrical representation by 3D model is essential for model based camera pose estimation that can be performed by corresponding 2D features in images with 3D features of the captured scene. While point features are mostly used as such features f...

Estimation of camera pose from image to space feature correspondence is a basic problem in image analysis and understanding. This paper presents a new method for the estimation of camera pose from 2D to 3D corner correspondence. Two cases are considered: the orthogonal corner and the general corner. The contribution of the work is in two folds: one is that the camera pose parameters, i.e., the ...

This paper investigates the relative target-object (rigid body) pose estimation for vision-based control. A closedform target pose estimation algorithm is developed and implemented. Moreover, PI-based visual control was designed and implemented in the camera (sensor) frame to minimize the effect of errors in the extrinsic parameters of the camera. The performance of the vision-based control alg...

13 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract— This paper describes the pose estimation of an object using a calibrated camera. The idea is to first calibrate the camera and then implement the algorithm to find the estimated matrices that describes the three dimensional pose of the object. The camera calibration process includes capturing the imag...

3D tracking is a trending issue in the field of augmented reality, which brings several challenges in a variety of situations, such as estimating the camera poses in dim conditions, obstructed scenes. It is difficult to stabilize the pose estimation results, especially when the result is dependent on only camera images under occlusions. However by using inertial sensors in smartphones, we can o...

In this paper we propose an approach to jointly perform camera pose estimation and human pose estimation from videos recorded by a set of cameras separated by wide baselines. Multi-camera pose estimation is very challenging in case of wide baselines or in general when patch-based feature correspondences are difficult to establish across images. For this reason, we propose to exploit the motion ...