Rectification and Pose Recovery for Spherical Images
نویسندگان
چکیده
ii Acknowledgements iii Contents 1 Introduction 1 1.
منابع مشابه
Omnidirectional texturing based on robust 3D registration through Euclidean reconstruction from two spherical images
We propose a semi-automatic omnidirectional texturing method that maps a spherical image onto a dense 3D model obtained by a range sensor. For accurate texturing, accurate estimation of the extrinsic parameters is inevitable. In order to estimate these parameters, we propose a robust 3D registration-based method between a dense range data set and a sparse spherical image stereo data set. For me...
متن کاملSpherical Rectification Based Stereo Vision Applied to Hybrid Dual Camera Vision Systems
Spherical reprojection was introduced in omnidirectional vision mainly to simplify the projection model for single-viewpoint catadioptric sensors. It was then extended to omni-stereo systems to perform 3D information recovery and disparity map estimation. Although the same rectification technique has already been exploited also to the classical stereo-vision problem, no one has described its na...
متن کاملCamera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images
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...
متن کاملIn-Bed Pose Estimation: Deep Learning with Shallow Dataset
This paper presents a robust human posture and body parts detection method under a specific application scenario, in-bed pose estimation. Although human pose estimation for various computer vision (CV) applications has been studied extensively in the last few decades, yet in-bed pose estimation using camera-based vision methods has been ignored by the CV community because it is assumed to be id...
متن کاملPose-Encoded Spherical Harmonics for Robust Face Recognition Using a Single Image
Face recognition under varying pose is a challenging problem, especially when illumination variations are also present. Under Lambertian model, spherical harmonics representation has proved to be effective in modelling illumination variations for a given pose. In this paper, we extend the spherical harmonics representation to encode pose information. More specifically, we show that 2D harmonic ...
متن کامل