From point cloud to BIM: a survey of existing approaches

We first found that non-acrosome-reacted sperm treated for 10 min with 200 nM mGX presented ultrastructural characteristics (Figure 6A) which are undistinguishable to those

The results show that the building and ground are much better detected by the morphological transformation method while the detection quality performance for cars, poles, and other

Etheridge (2001) proposes the use of graphs and non-dimensional parameters based on empirical correlations. However, a quantitative analysis tool could give

A crucial part of proposed systems involves asserting the identities of access requesters, subjects. However, a pure ID- based approach may not be entirely suited for IoT. This is

the knowledge of these objects must include detailed information on the geometry of the object structure, 3D algorithms, etc. All approaches mentioned

Rather, this fourth profile appeared to be characterized by moderately low levels of global workaholism, moderately high levels of specific working excessively and compulsively,

In this paper, we focus on the classification of lidar point cloud data acquired via mobile laser scanning, whereby the classification relies on a context model based on a

Since the information in point cloud data sometimes is unclear and insufficient, the various methods to RANSAC (Tarsha- Kurdi, et al., 2007) are combined and upgraded. This