Panoptic Segmentation (PS) is an advanced computer vision technique that combines the concepts of semantic and instanced segmentation. In semantic segmentation, the goal

3D reconstruction (3DR) is a technical process that involves creating three-dimensional models from 2D data, such as images, videos, or clouds.

SLAM (Simultaneous Localization and Mapping) is a process used in robotics to build and update a map of an unknown environment while simultaneously tracking the

Visual Odometry (VO), also known as Visual Odometry, is a technique used to estimate the movement of a vehicle or robot in an unknown environment,

Structure from Motion (SFM) is a computer vision technique that allows 3D reconstruction of scenes from a series of 2D images.

Multi-View Stereo (MVS) is a computer vision technique that allows the reconstruction of the three-dimensional environment from multiple two-dimensional images captured by cameras.

Dimensionality Reduction (DR) is a technique used in machine learning and data analysis to simplify data sets.

Feature Extraction (FE) is a fundamental process in artificial intelligence and machine learning that aims to identify and extract relevant information

Feature Selection (FS) is an essential technique in data processing and analysis, used to select a subset of relevant variables from a set of

Data Augmentation (DA) is a technique widely used in the field of machine learning and data processing, particularly in deep learning tasks.

Data Preprocessing (DP) is a crucial step in the process of analyzing data and developing machine learning models. The goal of DP is to

Data Visualization (DV) is an interdisciplinary field that combines elements of computer science, graphic design, cognitive psychology, and statistics.