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To against the complexity in finding feature-pair in image registration caused by traditional features: corners, lines and image edge, a novel method for image registration based on rectangle pattern is proposed. Unlike traditional features, a rectangle pattern can be described as its four vertexes and center, which can afford five pair-wise points for any kind of image transformation, and it holds...
Ethnicity is an important demographic attribute of human beings, and automatic face-based classification of ethnicity has promising applications in various fields. In this paper, we explore the ethnicity discriminability of both 2D and 3D face features, and propose an MM-LBP (Multi-scale Multi-ratio LBP) method, which is a multimodal method for ethnicity classification. LBP (Local Binary Pattern)...
In this paper, we propose Semi-Supervised pLSA(SSpLSA) for image classification. Compared with the classic non-supervised pLSA, our method overcomes the shortcoming of poor classification performance when the features of two categories are quite similar. By introducing category label information into EM algorithm, the iteration process can be directed carefully to the desired result. SS-pLSA greatly...
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image. We explicitly model object dependencies in a sparse graphical topology induced by the adjacency of objects in the image, which benefits inference, and then use maximum margin principle to learn the model discriminatively...
This paper proposes a framework of face tracking with classification, which can better meet the real requirements in the surveillance systems. Face tracking is performed by a novel constrained CAMShift algorithm, namely CAMShift- C, by posing three restrict conditions, including evaluation of location accuracy, scale of face area and dynamic histogram updating. The advantages of LBP-based face classification...
Automatic Image Annotation (AIA) tries to minimize the manual effort for image annotation. However, the performance of the AIA approaches is not satisfactory. The interaction of user is needed to solve this problem. The annotation is refined during the interaction by using semantic-based relevance feedback. This approach has a limit as only the annotations of found images during the interaction are...
In this paper, a novel wood identification approach based on the two-directional two-dimensional PCA ((2D)2PCA) method is proposed in contrast to the principal component analysis(PCA), two-dimensional PCA(2DPCA), column-directional 2DPCA(c2DPCA). PCA is a classical technique used to find patterns in high dimensional data. Wood identification based on PCA must transform 2D image matrix into 1D vector,...
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