Abstract This paper presents a prototype of virtual reality (VR) system to teach the basic concepts programming called VR‐OCKS. The is inspired by other visual languages such as Scratch or Kodu, and it works proposing user resolution simple puzzles in 3D environment. Several commands humanoid character, advance turn, together with control flow structures like iteration conditional selections, are needed provide solution for increasingly difficult challenges. Our aim attract users, usually...

Multiple types of images provide useful information about a crop, but image fusion is still challenge in Precision Agriculture (PA). We describe framework which manages multi-layer registration model heterogeneous obtained by an unmanned aerial vehicle (UAV) proposing pair-to-pair steps through method invariant to intensity differences, allowing us connect different with significant differences. Correction deformed treated as first step end up our algorithms. These methods conform the base...

Classifying grapevine varieties is crucial in precision viticulture, as it allows for accurate estimation of vineyard row growth different and ensures authenticity the wine industry. This task can be performed with time-consuming destructive methods, including data collection analysis laboratory. In contrast, unmanned aerial vehicles (UAVs) offer a markedly more efficient less restrictive method gathering hyperspectral data, even though they may yield higher levels noise. Therefore, first...

• Reconstruction of large point clouds with thermal data through an automatic method. Minimization the distance from aggregated values to image information. Massively parallel computing GPU hardware for time-consuming tasks. Thermal characterization vegetation by detecting ground points. infrared (TIR) images acquired Unmanned Aircraft Vehicles (UAV) are gaining scientific interest in a wide variety fields. However, reconstruction three-dimensional (3D) utilizing consumer-grade TIR presents...

Bite mark analysis assumes the uniqueness of dentition can be accurately recorded on skin or an object. However, biting is a dynamic procedure involving three moving systems, maxilla, mandible, and victim's reaction. Moreover, bite marks distorted by anatomic location injury elasticity tissue. Therefore, same produce that exhibit variations in appearance. The complexity this source evidence emphasizes need for new 3D imaging technologies analysis. This article presents software package,...

In this work, we present an efficient graphics processing unit (GPU)-based light detection and ranging (LiDAR) scanner simulator. Laser-based scanning is a useful tool for applications from reverse engineering or quality control at object scale to large-scale environmental monitoring topographic mapping. Beyond that, other specific require large amount of LiDAR data during development, such as autonomous driving. Unfortunately, it not easy get sufficient ground-truth due time constraints...

The management of large point clouds obtained by LiDAR sensors is an important topic in recent years due to the widespread use this technology a wide variety applications and increasing volume data captured. One main LIDAR systems study temporal evolution real environment. In open environments, it know erosive processes or landscape transformation. context civil engineering urban useful for monitoring dynamics growth, changes during construction buildings infrastructure facilities. problem...

The characterization of natural spaces by the precise observation their material properties is highly demanded in remote sensing and computer vision. production novel sensors enables collection heterogeneous data to get a comprehensive knowledge living non-living entities ecosystem. high resolution consumer-grade RGB cameras frequently used for geometric reconstruction many types environments. Nevertheless, understanding still challenging. automatic segmentation homogeneous materials nature...

Tree modeling has been extensively studied in computer graphics. Recent advances the development of high-resolution sensors and data processing techniques are extremely useful for collecting 3D datasets real-world trees generating increasingly plausible branching structures. The wide availability versatile acquisition platforms allows us to capture multi-view images scanned that can be used guided tree modeling. In this paper, we carry out a comprehensive review state-of-the-art methods...

The goal of this work is to study the adaptation a semantic segmentation technique use LiDAR point clouds in their original format as input. Until now, almost all methods that have been proposed apply deep learning models on keep focus generic clouds, making only geometric or colour information. architecture acts an alternative classical convolution models. We EdgeConv operator, applied 3D data, which uses nearest neighbors extract local features. show results experimentation reveals...

The reconstruction of 3D point clouds from image datasets is a time-consuming task that has been frequently solved by performing photogrammetric techniques on every data source. This work presents an approach to efficiently build large and dense co-acquired images. In our case study, the sensors co-acquire visible as well thermal multispectral imagery. Hence, RGB are reconstructed with traditional methods, whereas rest sources lower resolution less identifiable features projected into first...

In this paper we present an efficient GPU-based framework to dynamically perform the voxelization of polygonal models for training 3D convolutional neural networks. It is designed manage dataset augmentation by using geometric transformations and random vertex displacements in GPU. With proposed system, every carried out on-the-fly directly feeding network. The computing performance with approach much better than standard method, that carries each model separately has higher data processing...

The widespread use of LiDAR technologies has led to an ever-increasing volume captured data that pose a continuous challenge for its storage and organization, so it can be efficiently processed analyzed. Although the system files in formats such as LAS/LAZ is most common solution storage, databases are gaining popularity due their evident advantages: centralized uniform access collection datasets; better support concurrent retrieval; distributed database engines allows sharding; metadata or...