perceptify vocabularies
DESCRIPTION
Perceptify Vocabularies. Xiaofen Zheng Faculty of Computer Science Dalhousie University. Human Vision. Gestalt Laws. GET Models. Curve Partition Points. Generic Segments. The eight categories of generic segments. The eight categories of curve partition points. GS Description. - PowerPoint PPT PresentationTRANSCRIPT
Perceptify Vocabularies
Xiaofen Zheng
Faculty of Computer Science
Dalhousie University
Human Vision
Gestalt Laws
GET Models
Generic Segments
The eight categories of generic segments.
CS1 CS2 CS3 CS4
LS1 LS2 LS3 LS4
GS Description
yxfyxfTF
yx
xfy
,,,
Curve Partition Points
CPP Description
The eight categories of curve partition points.
LS
cpp4cpp5cpp2
cpp1
cpp6cpp5cpp8
cpp7
cs4
cs4
cs4
cs1
cs1 cs2
cs2cs3
cs3
cs3
LSi
cs2
LSj
cs4
cs1
jic GSGSpCPP ,,
Experimental Results
Edge trace and CPPs illustration
The original image
Experimental Results (Cont’d)
Edge trace and CPPs illustration
The original image
Classification Experimental Result
The eight categories of generic segments.
The original image
Perceptual Junctions
L-L type:(LPJ1)
C-L type:(LPJ2)
LPJ11 LPJ12 LPJ13 LPJ14
LSi LSi LSi LSiLSj
LSj LSj
LSj
LPJ21 LPJ22 LPJ23 LPJ24
LPJ25 LPJ26 LPJ27 LPJ28
LS
CS
LS
CS
LS
CS
LS
CS
LSCS LS CSLS CS LSCS
Low-level PJs
HPJY
L-L-L type:(HPJ)
C-C-L type:(HPJ)
HPJAHPJT
HPJC
High-level PJs
LPJs descriptions
CSLSpLPJ ,,2
ji LSLSpLPJ ,,1
nullLPJLPJpLPJ A ,11,,
111 ,,, LPJLPJLPJpHPJY
22 ,, LPJLPJpHPJC
LSLPJLPJpHPJT ,,, 11
HPJs descriptions
Experimental Result
The original image
Perceptual junction detection and classification results HPJY : HPJA: HPJT : HPJC: LPJ:
Grouping
The definition of ellipse
{ 4m1 p,p,pCS1
1
1m3 p,p,pCS22
3m2 p,p,pCS33
2m4 p,p,pCS44
CS2CS1,,pcpp 11
CS3CS2,,pcpp 23
CS4CS3,,pcpp 22
CS1CS4,,pcpp 44
}
Ellipse
Ellipse Grouping
An ellipse model
cpp3
cpp2
cpp1
cpp4
cs2 cs1
cs4cs3
Parallelogram Grouping
The definition of parallelogram
{ 14 pN,,pLSi
21 pN,,pLSj
LSjLSi,,pcpp 18
}
LSiLSj,,pcpp 28
32 pN,,pLSi
43 pN,,pLSj
LSjLSi,,pcpp 38
LSiLSj,,pcpp 48
Parallelogram
A parallelogram model
cpp8 LSi cpp8
cpp8cpp8 LSi
LSjLSj
Experimental Results
The original image
The edge segments and CPPs
Ellipses grouping (confidence >=
75%)
Model
Imageshape GET
GETPConfidence
Experimental Results (Cont’d)
The original image
The edge segments and CPPs
Parallelograms grouping (confidence >= 75%)