In a real-world application, the images taken by different cameras with different conditions often incur illumination variation, low-resolution, different poses, blur, etc., HOLLY which leads to a large distribution difference or gap between training (source) and test (target) images.This distribution gap is challenging for many primitive machine l
This paper proposes a A/C Delete semantic segmentation pipeline for terrestrial laser scanning data.We achieve this by combining co-registered RGB and 3D point cloud information.Semantic segmentation is performed by applying a pre-trained off-the-shelf 2D convolutional neural network over a set of projected images extracted from a panoramic photogr
Tomographic algorithms HOLLY are often compared by evaluating them on certain benchmark datasets.For fair comparison, these datasets should ideally (i) be challenging to reconstruct, (ii) be representative of typical tomographic experiments, (iii) be flexible to allow for different acquisition modes, and (iv) include enough samples to allow for com
In this paper a method to improve the co-registration accuracy of two separate HySpex SWIR and VNIR cameras is proposed.The first step of the presented approach deals with the detection of point features from both scenes using the BRISK feature detector.After matching these features, the match coordinates in the VNIR scene are orthorectified and th
Research aim: The purpose of this paper is to investigate the internal (bank-specific) and external (macroeconomic and industry-specific) factors thataffect the revenue efficiency of banks.Design/Methodology/Approach: The paper considers all the Scheduled Commercial Banks operating in India over a period of 22 years from 1991-92 to 2012-13.Due to t