As an active remote sensing technology, airborne LIDAR can work at all times while emitting specific wavelengths of laser light that penetrate seawater. Airborne bathymetry (ALB) records object’s full return waveform, including the water surface, column, seafloor, and objects on it. Due to seawater’s absorption scattering seafloor’s reflectivity effect, amplitude seafloor echoes varies greatly....

The fully automated analysis of 3D point clouds is of great importance in photogrammetry, remote sensing and computer vision. For reliably extracting objects such as buildings, road inventory or vegetation, many approaches rely on the results of a point cloud classification, where each 3D point is assigned a respective semantic class label. Such an assignment, in turn, typically involves statis...

Aqueous two-phase micellar systems (ATPMS) can be exploited in separation science for the extraction/purification of desired biomolecules. Prior to phase separation the surfactant solution reaches a cloud point temperature, which is influenced by the presence of electrolytes. In this work, we provide an investigation on the cloud point behavior of the nonionic surfactant C10E4 in the presence o...

Automatic curb detection is an important issue in road maintenance, three-dimensional (3D) urban modeling, and autonomous navigation fields. This paper is focused on the segmentation of curbs and street boundaries using a 3D point cloud captured by a mobile laser scanner (MLS) system. Our method provides a solution based on the projection of the measured point cloud on the XY plane. Over that p...

Biometric is used in computer science as a form of identification and access control. Out of all techniques of biometric finger vein extraction is most effective method. The paper describes the various research done on finger vein till date. We are using a unique combination of the curvature points and mathematical curve analysis along with the minutiae point extraction methods for veins biomet...

This paper presents a novel method to extract skeletons of complex articulated objects from 3D point cloud sequences collected by the Kinect. Our approach is more robust than the traditional video-based and stereobased approaches, as the Kinect directly provides 3D information without any markers, 2D-to-3D-transition assumptions, and feature point extraction. We track all the raw 3D points on t...

Cloud manufacturing is defined as a relationship between the consumer and a flexible array of production services, managed by an intervening architecture that can match service providers to product and manufacturing processes Cloud manufacturing definitions typically make explicit or imply three groups of actors: consumers, who request and use cloud manufacturing processes; application provider...

Keyword extraction attracts much attention for its significant role in various natural language processing tasks. While some existing methods for keyword extraction have considered using single type of semantic relatedness between words or inherent attributes of words, almost all of them ignore two important issues: 1) how to fuse multiple types of semantic relations between words into a unifor...

Point-based rendering methods have proven to be effective for the display of large point cloud surface models, basically replacing global surface reconstruction with local surface estimations, for example, via splats or implicit functions. Crucial to their performance in terms of rendering quality and speed is the representation of the local surface patches. We present an approach that avoids a...