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Computer vision-based analysis of buildings and built environments: A systematic review of current approaches
Analysing 88 sources published from 2011 to 2021, this article presents a first systematic
review of the computer vision-based analysis of buildings and the built environment. Its aim …
review of the computer vision-based analysis of buildings and the built environment. Its aim …
Landmark recognition with sparse representation classification and extreme learning machine
Along with the rapid development of intelligent mobile terminals, applications on landmark
recognition attract increasingly attentions by world wide researchers in the past several …
recognition attract increasingly attentions by world wide researchers in the past several …
Landmark recognition with compact BoW histogram and ensemble ELM
Along with the rapid development of mobile terminal devices, landmark recognition
applications based on mobile devices have been widely researched in recent years. Due to …
applications based on mobile devices have been widely researched in recent years. Due to …
kNN based image classification relying on local feature similarity
In this paper, we propose a novel image classification approach, derived from the kNN
classification strategy, that is particularly suited to be used when classifying images …
classification strategy, that is particularly suited to be used when classifying images …
Fast image classification for monument recognition
Content-based image classification is a wide research field that addresses the landmark
recognition problem. Among the many classification techniques proposed, the k-nearest …
recognition problem. Among the many classification techniques proposed, the k-nearest …
Towards deep learning for architecture: A monument recognition mobile app
In recent years, the diffusion of large image datasets and an unprecedented computational
power have boosted the development of a class of artificial intelligence (AI) algorithms …
power have boosted the development of a class of artificial intelligence (AI) algorithms …
Fast online learning algorithm for landmark recognition based on BoW framework
In this paper, we propose a fast online learning framework for landmark recognition based
on single hidden layer feedforward neural networks (SLFNs). Conventional landmark …
on single hidden layer feedforward neural networks (SLFNs). Conventional landmark …
Monument recognition using deep neural networks
S Gada, V Mehta, K Kanchan, C Jain… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
In this paper, we have classified the famous Indian Monuments across the Golden
Quadrilateral. A well-known Deep Learning architectural model has been adopted to …
Quadrilateral. A well-known Deep Learning architectural model has been adopted to …
Comparison of object recognition approaches using traditional machine vision and modern deep learning techniques for mobile robot
In this paper, we consider the problem of object recognition for a mobile robot in an indoor
environment using two different vision approaches. Our first approach uses HOG descriptor …
environment using two different vision approaches. Our first approach uses HOG descriptor …
Machine learning advances aiding recognition and classification of Indian monuments and landmarks
Tourism in India plays a quintessential role in the country's economy with an estimated 9.2%
GDP share for the year 2018. With a yearly growth rate of 6.2%, the industry holds a huge …
GDP share for the year 2018. With a yearly growth rate of 6.2%, the industry holds a huge …