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Dongbo Cai, Shaoqiang Chai, Mingzhuan Wei, Hui Wu, Nan Shen, Yin Zhou, Yanchao Ding, Kaixin Hu and Xingyi Hu
The current expansion of building structures has created a demand for efficient and smart surface quality evaluation at the acceptance phase. However, the conventional approach mainly relies on manual work, which is labor-intensive, time-consuming, and u...
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Yueyong Pang, Lizhi Miao, Liangchen Zhou and Guonian Lv
Indoor space is a core part of supporting indoor applications. Most of the existing indoor space models are expressed from three space scales: building, floor, and room, and the granularity is not fine enough, lacking the expression of each functional su...
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Fan Yang, You Li, Mingliang Che, Shihua Wang, Yingli Wang, Jiyi Zhang, Xinliang Cao and Chi Zhang
An increasing number of applications require the accurate 3D layout reconstruction of indoor environments. Various devices including laser scanners and color and depth (RGB-D) cameras can be used for this purpose and provide abundant and highly precise d...
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Liliana Di Brigida, Alessandro Naddeo, Nicola Cappetti, Antonio Borri and Antonio Cortese
Orthognathic surgery allows broad-spectrum deformity correction involving both aesthetic and functional aspects on the TMJ (temporo-mandibular joint) and on the facial skull district. The combination of Reverse Engineering (RE), Virtual Surgery Planning ...
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Lei He, Jian Ou, Mingyue Ba, Guohong Deng and Echuan Yang
Autonomous urban driving navigation is still an open problem and has ample room for improvement in unknown complex environments. This paper proposes an end-to-end autonomous driving approach that combines Conditional Imitation Learning (CIL), Mask R-CNN ...
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Fan Yang, Mingliang Che, Xinkai Zuo, Lin Li, Jiyi Zhang and Chi Zhang
Room segmentation is a basic task for the semantic enrichment of point clouds. Recent studies have mainly projected single-floor point clouds to binary images to realize two-dimensional room segmentation. However, these methods have difficulty solving se...
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Zhihong Ouyang, Lei Xue, Feng Ding and Da Li
Linear approximate segmentation and data compression of moving target spatio-temporal trajectory can reduce data storage pressure and improve the efficiency of target motion pattern mining. High quality segmentation and compression need to accurately sel...
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Igor Varfolomeev, Ivan Yakimchuk and Ilia Safonov
Image segmentation is a crucial step of almost any Digital Rock workflow. In this paper, we propose an approach for generation of a labelled dataset and investigate an application of three popular convolutional neural networks (CNN) architectures for seg...
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Jaehoon Jung, Cyrill Stachniss and Changjae Kim
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