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Successive pattern learning based on test feature classifier and its application to dynamic recognition problems
classifi cation test feature classifi er successive learning dynamic recognition problem
2015/8/25
Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
A RECOGNITION METHOD FOR AIRPLANE TARGETS USING 3D POINT CLOUD DATA
LiDAR Point cloud data Target recognition Target segmentation KD-Tree Moment invariants
2014/4/28
LiDAR is capable of obtaining three dimension coordinates of the terrain and targets directly and is widely applied in digital city, emergent disaster mitigation and environment monitoring. Especially...
V-LGBP: Volume Based Local Gabor Binary Patterns for Face Representation and Recognition
V-LGBP Gabor Binary Patterns Face Representation
2010/12/17
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face
representation and recognition. In our method, the Gabor feature set of each gray image is regarded as a three dim...
Low-Resolution Face recognition via Coupled Locality Preserving Mappings
Low-Resolution Face recognition Preserving Mappings
2010/12/20
Practical face recognition systems are sometimes confronted with low-resolution face images. Traditional two-step methods solve this problem through employing super-resolution
(SR). However, these me...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...
Signer Adaptation Based on Etyma for Large Vocabulary Chinese Sign Language Recognition
Signer Adaptation Large Vocabulary Chinese Sign Language Recognition
2010/12/16
Sign language recognition (SLR) with large vocabulary and signer independency is valuable and is still a big challenge. Signer adaptation is an important solution to signer independent SLR. In this pa...
OBJECT RECOGNITION BASED ON DEPENDENT PACHINKO ALLOCATION MODEL
OBJECT RECOGNITION DEPENDENT PACHINKO ALLOCATION MODEL
2010/12/17
Recently the “bag of words” model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called “visual
words”, and recognize object...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...
VIEWPOINT INVARIANT SIGN LANGUAGE RECOGNITION
VIEWPOINT INVARIANT SIGN LANGUAGE RECOGNITION
2010/12/15
Sign language is the primary modality of communication among deaf and mute society all over the world. This paper proposes a viewpoint independent method for sign recognition. Considering that two seq...
Curse Of Mis-Alignment In Face Recognition: Problem And A Novel Mis-Alignment Learning Solution,
Face Recognition Mis-Alignment Learning Solution
2010/12/14
In this paper, we present the rarely concerned curse of mis-alignment problem in face recognition, and propose
a novel mis-alignment learning solution. Mis-alignment problem is firstly empirically ...
Support Vector Machines for Face Recognition with Two-Layer Generated Virtual Data
Vector Machines Face Recognition Two-Layer Generated Virtual Data
2010/12/14
This paper presents support vector machines (SVM)for few samples-based face recognition with two-layer artificially
generated virtual training data. The few samples cannot express all the conditions ...
Component-based Cascade Linear Discriminant Analysis for Face Recognition
Component-based Cascade Linear Discriminant Analysis Face Recognition
2010/12/15
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face image is represented ...