Open AccessRecognition of Planar Object in Stack via Local Prediction Consistency
Author(s) -
Jianying Bao,
Lei Feng,
Chengge Gu,
Jinqiu Mo
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022036
Subject(s) - consistency (knowledge bases) , stack (abstract data type) , object (grammar) , planar , similarity (geometry) , scale (ratio) , computer science , stability (learning theory) , pattern recognition (psychology) , artificial intelligence , algorithm , machine learning , image (mathematics) , geography , cartography , computer graphics (images) , programming language
A novel method for recognition of planar object in stack via local prediction consistency is proposed in this paper. By checking the consistency of local predictions, an object can be recognized and located. The prediction method by local features under uncertain scale is emphatically discussed. According to the distribution prior for local predictions, the similarity scale can be determined and the consistent local predictions can be composited. A great number of experiments are carried out to prove the stability of this method.