Transparent Object Depth Estimation

Depth estimation of transparent objects is an important subtask in the field of computer vision, aiming to accurately estimate the depth information of transparent objects in 3D space through image processing and analysis techniques. The goal of this task is to overcome the challenges posed by surface reflections and refractions of transparent objects, thereby improving the accuracy and robustness of depth estimation. Depth estimation of transparent objects has significant value in applications such as augmented reality, robot navigation, and industrial inspection, enhancing the system's perception capabilities and operational precision.