Accuracy analysis of 3D object shape recovery using depth filtering algorithms

Comparative Analysis of Point Cloud Similarity Based on 3D Surface Reconstruction Using Mechanical Depth Sensor

“…Depth cameras, also commonly referred to as RGB-D cameras, not only capture regular color images but also retrieve depth data, by means of an infrared sensor, for each pixel at a predetermined configuration. (1)(2)(3)(4)(5)(6) This feature makes them highly suitable for performing 3D reconstruction of objects or scenes. An example of such a camera is the Microsoft Azure Kinect DK.…”

Accuracy analysis of surface reconstruction from point clouds

“…Noise and undefined holes on the surface can greatly affect to the accurate of 3D reconstruction [7,8,9,10], therefore, noise-reduction and hole-filling enhancement algorithms should be served as a pre-processing step for 3D reconstruction [11,12]. To reduce impulsive noise and to fill small holes, filters are used [13,14,15,16,17].…”

Accuracy analysis of 3D object reconstruction using mesh filtering

“…Noise and holes can greatly affect to the accurate of 3D reconstruction [7,8,9], therefore, noise-reduction and hole-filling enhancement algorithms are intended to serve as preprocessing step for 3D reconstruction systems with Kinect cameras [10,11,12]. To reduce impulsive noise and to fill small holes, filters [13,14,15,16,17] can be used.…”