Name
Title | ||
|---|---|---|
Heterogeneous Multi-View Information Fusion: Review of 3-D Reconstruction Methods and a New Registration with Uncertainty Modeling. |
Abstract | ||
|---|---|---|
We consider a multisensor network fusion framework for 3-D data registration using inertial planes, the underlying geometric relations, and transformation model uncertainties. We present a comprehensive review of 3-D reconstruction methods and registration techniques in terms of the underlying geometric relations and associated uncertainties in the registered images. The 3-D data registration and the scene reconstruction task using a set of multiview images are an essential goal of structure-from motion algorithms that still remains challenging for many applications, such as surveillance, human motion and behavior modeling, virtual-reality, smart-rooms, health-care, teleconferencing, games, human robot interaction, medical imaging, and scene understanding. We propose a framework to incorporate measurement uncertainties in the registered imagery, which is a critical issue to ensure the robustness of these applications but is often not addressed. In our test bed environment, a network of sensors is used where each physical node consists of a coupled camera and associated inertial sensor (IS)/inertial measurement unit. Each camera-IS node can be considered as a hybrid sensor or fusion-based virtual camera. The 3-D scene information is registered onto a set of virtual planes defined by the IS. The virtual registrations are based on using the homography calculated from 3-D orientation data provided by the IS. The uncertainty associated with each 3-D point projected onto the virtual planes is modeled using statistical geometry methods. Experimental results demonstrate the feasibility and effectiveness of the proposed approach for multiview reconstruction with sensor fusion. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ACCESS.2016.2629987 | IEEE ACCESS |
Keywords | Field | DocType |
Structure-from-motion,image registration,3D reconstruction,heterogeneous information fusion,homography,coupled sensors,inertial measurement unit (IMU),sensor network,geometric uncertainty,virtual reality | Iterative reconstruction,Computer vision,Motion control,Computer science,Sensor fusion,Robustness (computer science),Homography,Artificial intelligence,Solid modeling,Inertial measurement unit,Wireless sensor network | Journal |
Volume | ISSN | Citations |
4 | 2169-3536 | 1 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hadi Aliakbarpour | 1 | 90 | 14.79 |
| V. B. Surya Prasath | 2 | 179 | 30.60 |
| Kannappan Palaniappan | 3 | 920 | 75.13 |
| Guna Seetharaman | 4 | 584 | 44.59 |
| Jorge Dias | 5 | 175 | 33.83 |