Reconstruction and object classification results for three samples

Citation Author(s):
Yaheng
Wang
Submitted by:
Yaheng Wang
Last updated:
Tue, 05/14/2024 - 02:20
DOI:
10.21227/cv0q-hw62
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Abstract 

The reconstruction results from four-sided scanning using our previously developed MMW point cloud reconstruction algorithm are illustrated. The light blue part is the perimeter of the cardboard box, the pink part is the scissors, the dark blue part is the knife, and the red part is the hammer. The results show that even though the objects overlap each other, the reconstruction results of four-sided scanning can still get the rough outline of each object, which is unachievable with 2D imaging. Due to the fact that some of the canceled objects are made of non-metallic materials such as wood and plastic, the reconstructed contours of the objects appear uneven and hollow. The object classification outcome, wherein the concealed objects are boxed, and the object classification results are displayed beneath the box.

Instructions: 

The reconstruction results from four-sided scanning using our previously developed MMW point cloud reconstruction algorithm are illustrated. The light blue part is the perimeter of the cardboard box, the pink part is the scissors, the dark blue part is the knife, and the red part is the hammer. The results show that even though the objects overlap each other, the reconstruction results of four-sided scanning can still get the rough outline of each object, which is unachievable with 2D imaging. Due to the fact that some of the canceled objects are made of non-metallic materials such as wood and plastic, the reconstructed contours of the objects appear uneven and hollow. The object classification outcome, wherein the concealed objects are boxed, and the object classification results are displayed beneath the box.