User Pattern Exploration in Immersive Applications.

Point clouds have become essential for different industries that require 3D modelling of objects or environments. Thus exploration of point clouds has become imperative and subjective evaluation is often used to understand how humans perceive, interpret, and interact with the point cloud data. This interaction as an outcome naturally involves physical mobility around the object. Hence, human trajectory plays a crucial role in accessing and analysing point cloud models. When exploring a 3D point cloud model, users navigate through the dataset and view different parts of it from different angles and perspectives in order to fully understand and interpret the data. This physical movement pattern around a scene results in individualistic camera paths, taking into account the same dataset for all the users. Therefore, by aggregating all camera paths and extrapolating a mean trajectory, it's possible to formulate a collective reference path for generating a more comprehensive 2D video that can then be used for further subjective assessment and analysis. This further analysis highlights precise visual evaluation and gives insights into the completeness of the integral data.