From 2D Silhouettes to 3D Object Retrieval: Contributions and Benchmarking

EURASIP Journal on Image and Video Processing

Table 7 This table describes the significance of different acronyms/methods which participate in the Watertight and the Princeton benchmarks.

CSID-CMVD 1, 2, 3	Compact shape impact descriptor and multi view descriptor [1]
MRSPRH-UDR	Unsupervised dimension reduction approach [1]
BFSIFT	Bag-of-local visual feature [1]
ERG 1, 2	Enhanced reeb graph [1]
BOW, CBOW	(Concentric) bag of words [1]
LFD	Light field descriptor [12–14]
EDBA	Enhanced depth buffer approach [10]
AVC	Adaptive view clustering [15]
ESA	Enhanced silhouettes approach [10]
REXT	Radialized spherical extent function [38]
DBD	Depth buffer descriptor [39]
SHD	Spherical harmonic descriptor [23]
GEDT	Gaussian euclidean distance transform [23]
SIL	Silhouettes approach [39]
EXT	Spherical extent function [33]
SECSHEL	Shape histogram [3]
VOXEL	3D shape voxelization [39]
SECTORS	Shape histogram [3]
CEGI	Complex extended gaussian image [22]
EGI	Extended gaussian image [20]
D2	D2shape distribution [31]
SHELLS	Shape histogram [3]