Volume Estimation

Volume estimation focuses on accurately determining the three-dimensional space occupied by an object, with applications ranging from medical diagnosis (e.g., organ volumetry) to industrial processes (e.g., material quantity assessment). Current research emphasizes developing robust and efficient methods using 3D imaging (e.g., point clouds, RGB-D images) and machine learning techniques, including convolutional neural networks and Gaussian processes, to address challenges like occlusions, varying lighting, and data scarcity. These advancements improve the accuracy and reliability of volume measurements across diverse fields, leading to better clinical decisions, optimized industrial operations, and enhanced understanding of complex systems.