A 3D Pattern for Post Estimation for Object Capture
نویسندگان
چکیده
We describe a new pose estimation approach for a 3D object capture system. This 3D pose estimation approach offers several advantages: increased visibility, robustness to lighting conditions, and improved reliability with evenly distributed errors. The calibration pattern is built using 3D conic features. We use simplex search to find the camera position and orientations that minimizes the error between the projected 3D cone features and the corresponding 2D image features. We demonstrate that our approach is accurate, efficient and robust.
منابع مشابه
3D Models Recognition in Fourier Domain Using Compression of the Spherical Mesh up to the Models Surface
Representing 3D models in diverse fields have automatically paved the way of storing, indexing, classifying, and retrieving 3D objects. Classification and retrieval of 3D models demand that the 3D models represent in a way to capture the local and global shape specifications of the object. This requires establishing a 3D descriptor or signature that summarizes the pivotal shape properties of th...
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 کاملNeuroTracker Three-Dimensional Multiple Object Tracking (3D-MOT): A Tool to Improve Concentration and Game Performance among Basketball Athletes
Background. Basketball is a dynamic sport where athletes are expected to observe the fast movements of team players and opponents in a performance. This condition requires a collective focus on the stipulated tasks, to achieve peak performance. Besides, training is frequently performed to improve concentration and athlete performance. This instigates the need for technology-based methods, inclu...
متن کامل3D Scene and Object Classification Based on Information Complexity of Depth Data
In this paper the problem of 3D scene and object classification from depth data is addressed. In contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. In order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. Exploiting the algorithmic information theory, a new def...
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 کامل