Pose Estimation using ∞ L
نویسنده
چکیده
A method is presented for estimating the pose (position & orientation) of a camera based on a set of correspondences between world space and camera space by decomposing the problem into orientation estimation and triangulation. Both of these steps can be proven to be globally convergent which allows fast and accurate estimation. Furthermore, the pose estimation works in full projective space, preserves the full orthonormality of the rotation matrix does not make any assumptions about the co-planarity of the points and provides an elegant method of doing outlier removal. Experiments show that the presented method of pose estimation is more accurate than currently available schemes and is fast enough to run in real time.
منابع مشابه
Camera 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 کاملاستفاده از برآورد حالتهای پویای دست مبتنی بر مدل، برای تقلید عملکرد بازوی انسان توسط ربات با دادههای کینکت
Pose estimation is a process to identify how a human body and/or individual limbs are configured in a given scene. Hand pose estimation is an important research topic which has a variety of applications in human-computer interaction (HCI) scenarios, such as gesture recognition, animation synthesis and robot control. However, capturing the hand motion is quite a challenging task due to its high ...
متن کاملStatistical Partial Constraints for 3D Model Matching and Pose Estimation Problems
We explore the potential of variance matrices to represent not just statistical error on object pose estimates but also partially constrained degrees of freedom. Using an iterated extended Kalman filter as an estimation tool, we generate, combine and predict partially constrained pose estimates from 3D range data. We find that partial constraints on the translation component of pose which occur...
متن کاملHead Pose Estimation Using Multi-scale Gaussian Derivatives
In this paper we approach the problem of head pose estimation by combining Multi-scale Gaussian Derivatives with Support Vector Machines. We evaluate the approach on the Pointing04 and CMU-PIE data sets and to estimate the pan and tilt of the head from facial images. We achieved a mean absolute error of 6.9 degrees for pan and 8.0 degrees for tilt on the Pointing04 data set.
متن کاملتخمین چنددوربینی حالت سه بعدی انسان با برازش افکنش مدل اسکلت سه بعدی مفصل دار در تصاویر سایه نما
Automatic capture and analysis of human motion, based on images or video is important issue in computer vision due to the vast number of applications in animation, surveillance, biomechanics, Human Computer Interaction, entertainment and game industry. In these applications, it is clear that 3D human pose estimation is an essential part. Therefore, its accuracy has a great effect on the perform...
متن کامل