On efficient 3D object retrieval
H Liu, RCW Wong - The VLDB Journal, 2025 - Springer
Due to the growth of the 3D technology, digital 3D models represented in the form of point
clouds have attracted a lot of attention from both industry and academia. In this paper, due to …
clouds have attracted a lot of attention from both industry and academia. In this paper, due to …
Robust object classification approach using spherical harmonics
Point clouds produced by either 3D scanners or multi-view images are often imperfect and
contain noise or outliers. This paper presents an end-to-end robust spherical harmonics …
contain noise or outliers. This paper presents an end-to-end robust spherical harmonics …
[HTML][HTML] Partial 3D object retrieval using local binary QUICCI descriptors and dissimilarity tree indexing
BI van Blokland, T Theoharis - Computers & Graphics, 2021 - Elsevier
A complete pipeline is presented for accurate and efficient partial 3D object retrieval based
on Quick Intersection Count Change Image (QUICCI) binary local descriptors and a novel …
on Quick Intersection Count Change Image (QUICCI) binary local descriptors and a novel …
[PDF][PDF] Robust Object Classification Approach Using Spherical Harmonics
R HOSEINNEZHAD, A BAB-HADIASHAR - academia.edu
Point clouds produced by either 3D scanners or multi-view images are often imperfect and
contain noise or outliers. This paper presents an end-to-end robust spherical harmonics …
contain noise or outliers. This paper presents an end-to-end robust spherical harmonics …