Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ahmed Elmoogy"'
Publikováno v:
VTC-Fall
We propose SURF-LSTM, a low complexity deep architecture to learn image absolute pose (position and orientation) in indoor environments using SURF descriptors and recurrent neural networks. Given the strongest SURF features descriptors of an input im
Publikováno v:
VTC-Fall
Image based localization is a key block of visual simultaneous localization and mapping (SLAM) system where image data is used to localize the camera relative to an arbitrary reference frame. Although finding the location from one image or between tw
Publikováno v:
VTC-Fall
Neural networks-based camera pose estimation systems rely on fine tuning very large networks to regress the camera position and orientation with very complex training procedure. In this paper, we explore the following question: do we need to fine tun
Publikováno v:
PACRIM
Adding an image descriptor to the input significantly enhances the performance of a convolutional neural network. By incorporating Speeded Up Robust Feature (SURF) descriptors for indoor localization applications, we report a simpler convolutional ne