PROJECT TITLE :

Robust three-dimensional vehicle reconstruction using cross-ratio invariance

ABSTRACT:

A new method for structure-from-motion (SfM) is developed for moving vehicles on the street using a video camera Outdoor vehicle is one of the most difficult objects for tracking or three-dimensional (3D) reconstruction because most vehicle surfaces are specular and reflect background scenes. Therefore conventional point feature tracking method is not appropriate since spurious features are often tracked and the numbers of the correct features are too small. To overcome such difficulties, epipolar constraint, cross-ratio histogram and 3D curve reconstruction are employed in this method. The proposed method is also computationally efficient since it does not require expensive feature tracking process, which is used in most conventional SfM methods. Finally, to evaluate the error, experiments over 200 vehicles are performed under various viewing conditions and they show significant correlation among the number of frames, distance from the camera and accuracy of reconstruction.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Robust Fuzzy Learning for Partially Overlapping Channels Allocation in UAV Communication Networks ABSTRACT: The emerging cellular-enabled unmanned aerial vehicle (UAV) communication paradigm poses significant challenges
PROJECT TITLE : Server-Aided Fine-Grained Access Control Mechanism with Robust Revocation in Cloud Computing ABSTRACT: In a wide variety of cloud computing applications, attribute based encryption, also known as ABE, makes it
PROJECT TITLE : Robust H∞ Network Observer-Based Attack-Tolerant Path Tracking Control of Autonomous Ground Vehicle ABSTRACT: Under the influence of external disturbance, measurement noise, and actuator/sensor attack signals,
PROJECT TITLE : Robust Localization System using Vector Combination in Wireless Sensor Networks ABSTRACT: In this paper, we propose a localization system that is based on vectors and that takes into account both distance and
PROJECT TITLE : Robust Variational Learning for Multiclass Kernel Models With Stein Refinement ABSTRACT: The ability of kernel-based models to generalize well is impressive, but the vast majority of them, including the SVM, are

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry