00471nas a2200121   4500008004100000245007900041210006900120260000900189300001400198490000700212100001200219856011800231       2015                        eng d00aInfluence of information technology on college piano course teaching model0 aInfluence of information technology on college piano course teac  c2015  a185 - 1890 v131 aJin, Y.  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84938594099&partnerID=40&md5=427e01b0cae258db68fe5029db676c1d02057nas a2200205   4500008004100000245008400041210006900125260000900194300001400203490000600217520137800223653002801601653002101629653002301650653002001673100001501693700001401708700001201722856011701734       2009                        eng d00aImage recognition of occluded objects based on improved curve moment invariants0 aImage recognition of occluded objects based on improved curve mo  c2009  a152 - 1580 v73 aThis paper presents some fundamental knowledge of image recognition of partially occluded objects, and brings forward an improved set of curve moment invariants to recognize occluded objects in images. Occluded objects in an image are not rich in information, while the improved curve moment invariants can represent those objects in a unique way. Therefore, the occluded objects can be efficiently recognized through their shape representation by the set of curve moment invariants as their features. A number of model objects are predefined in the experiments to build the prior knowledge database for the sake of matching and recognizing unknown objects in future input images. Image pre-processing is employed for both model objects and unknown input objects to obtain their boundary and partition it into subparts. Corner points along the boundary are detected after image pre-processing so that the objects can be described by the curve moment invariants of each subpart. Finally, the matching of curve moment invariants between model object and unknown object is carried on to recognize the unknown object in the input scene image. The results of experiments show that this method is robust and efficient to recognize partially occluded objects in 2D images; furthermore, the invariance to the affine transformation of objects in images are also proved in the paper.10aCurve moment invariants10aImage recogniton10aObject recognition10aOccluded object1 aLichun, K.1 aBin, L.K.1 aJin, Y.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-73249137091&partnerID=40&md5=f19ee8c05f39dc1d26d8fca6dbc9e111