In this paper a new marker-based approach is presented for 3D camera pose tracking in indoor Augmented Reality (AR). We propose to combine a circular fiducials detection technique with a particle filter to incrementally compute the camera 3D pose parameters. In order to deal with partial occlusions, we have implemented an efficient method for fitting ellipse to scattered data. So even incomplet...

In this paper, we introduce a dynamic fiducial marker which can change its appearance according to the spatio-temporal requirements of the visual perception task of a mobile robot using a camera as sensor. We present a control scheme to dynamically change the appearance of the marker such that the pose of the robot can be optimally estimated from the camera image. The appearance control takes i...

In this paper, we describe a high speed and multi degree of freedoms (DOFs) pose estimation method for a 3-D object that called Estimation-by-Completion (EbC) method. The most of employed processes are described with linear calculation, thus, whole procedure for each parameter estimation is expressed by a pair inner production, and it used only an arctangent calculation at the final part of the...

In this paper, we present a two-step methodology to improve existing human pose estimation methods from a single depth image. Instead of learning the direct mapping from the depth image to the 3D pose, we first estimate the orientation of the standing person seen by the camera and then use this information to dynamically select a pose estimation model suited for this particular orientation. We ...

This paper proposes a novel method for hand pose estimation that can be used for 3D free-form input interfaces. The aim of the method is to estimate all joint angles to manipulate objects in the virtual space. In this method, the hand regions are extracted from multiple images obtained by the multi-viewpoint camera system. By integrating multi-viewpoint silhouette images, a hand pose is reconst...

In this paper, we propose a system for AR visualization of thermal distribution on the environment. Our system is based on color 3D model and thermal 3D model of the target scene generated by KinectFusion using a thermal camera coupled with an RGB-D camera. In off-line phase, Viewpoint Generative Learning (VGL) is applied to the colored 3D model for collecting its stable keypoints descriptors. ...