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RECOGNITION OF OCCLUDED OBJECTS WITH HEURISTIC-SEARCH
被引:10
作者
:
CHAUDHURY, S
论文数:
0
引用数:
0
h-index:
0
机构:
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
CHAUDHURY, S
[
1
]
ACHARYYA, A
论文数:
0
引用数:
0
h-index:
0
机构:
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
ACHARYYA, A
[
1
]
SUBRAMANIAN, S
论文数:
0
引用数:
0
h-index:
0
机构:
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
SUBRAMANIAN, S
[
1
]
PARTHASARATHY, G
论文数:
0
引用数:
0
h-index:
0
机构:
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
PARTHASARATHY, G
[
1
]
机构
:
[1]
INDIAN INST TECHNOL,DEPT ELECTR & COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
来源
:
PATTERN RECOGNITION
|
1990年
/ 23卷
/ 06期
关键词
:
Aε[!sup]*[!/sup] algorithm;
Heuristic search;
Occlusion;
Planar shape recognition;
Pruning strategy;
State space;
D O I
:
10.1016/0031-3203(90)90038-M
中图分类号
:
TP18 [人工智能理论];
学科分类号
:
081104 ;
0812 ;
0835 ;
1405 ;
摘要
:
This paper presents a new heuristic search based approach for recognition of partially obscured planar shapes. Based on a general scheme for representing the planar shapes in terms of their contour segments, a state space formulation is obtained for the recognition problem. The search in the state space is guided by an admissible heuristic function which is not dependent upon the features actually used for representing the shapes. Some schemes for toning up the efficiency of the method are also discussed. A study of the method was carried out by experimenting with some typical objects and results of experimentation are presented. © 1990.
引用
收藏
页码:617 / 635
页数:19
相关论文
共 21 条
[21]
WALLACE AM, 1987, PATTERN RECOGN, V20, P309
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共 21 条
[21]
WALLACE AM, 1987, PATTERN RECOGN, V20, P309
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