Pose Estimation Based on 3D Models
نویسندگان
چکیده
This project aims to estimate the pose of an object in the image. Pose estimation problem is known to be an open problem and also a crucial problem in computer vision field. Many real-world tasks depend heavily on or can be improved by a good pose estimation. For example, by knowing the exact pose of an object, robots will know where to sit on, how to grasp, or avoid collision when walking around. Besides, pose estimation is also applicable to automatic driving. With good pose estimation of cars, automatic driving system will know how to manipulate itself accordingly. Moreover, pose estimation can also benefit image searching, 3D reconstruction and has a large potential impact on many other fields.
منابع مشابه
Car Segmentation and Pose Estimation using 3D Object Models
Image segmentation and 3D pose estimation are two key cogs in any algorithm for scene understanding. However, state-of-the-art CRF-based models for image segmentation rely mostly on 2D object models to construct top-down high-order potentials. In this paper, we propose new topdown potentials for image segmentation and pose estimation based on the shape and volume of a 3D object model. We show t...
متن کامل3D Line Segment Based Model Generation by RGB-D Camera for Camera Pose Estimation
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...
متن کاملTest-Time Adaptation for 3D Human Pose Estimation
In this paper we consider the task of articulated 3D human pose estimation in challenging scenes with dynamic background and multiple people. Initial progress on this task has been achieved building on discriminatively trained part-based models that deliver a set of 2D body pose candidates that are then subsequently refined by reasoning in 3D [1, 4, 5]. The performance of such methods is limite...
متن کاملPose Estimation and Integration for Complete 3D Model Reconstruction
An automatic 3D model reconstruction technique is presented to acquire complete 3D models of real objects. The technique is based on novel approaches to pose estimation and integration. Two different poses of an object are used because a single pose often hides some surfaces from a range sensor. The presence of hidden surfaces makes the 3D model reconstructed from any single pose a partial mode...
متن کاملShape Models of the Human Body for Distributed Inference
of “Shape Models of the Human Body for Distributed Inference” by Silvia Zuffi, Ph.D., Brown University, May 2015 In this thesis we address the problem of building shape models of the human body, in 2D and 3D, which are realistic and efficient to use. We focus our efforts on the human body, which is highly articulated and has interesting shape variations, but the approaches we present here can b...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1506.06274 شماره
صفحات -
تاریخ انتشار 2014