In this paper, we present a novel algorithm designed to accurately calculate the volume of three-dimensional (3D) object shapes. To achieve this, we employed a multi-camera measurement system that captures detailed spatial data of the object from various angles. This comprehensive data collection enables the algorithm to process and analyze the shape of the object effectively. The algorithm we propose relies on advanced computational techniques that allow for precise volume estimation based on the acquired measurements. In addition to its primary function of volume calculation, the algorithm exhibits versatility and can be adapted for various applications involving 3D object analysis. This includes potential uses in fields such as manufacturing, quality control, and even in the medical field for analyzing anatomical structures.
3D Syndrome, Coefficient Correlation, Brain Wave, Feature Vector, Detect