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Face Hallucination is, one of a learning-based super-resolution technique that can reconstruct a high-resolution image using only one low-resolution image. However, there are often some detailed high-frequency components of the reconstructed image that cannot be recovered using this method. In this study, we proposed a high-frequency compensated face hallucination method for enhancing reconstruction...
Incremental principal component analysis (IPCA) has been of great interest in computer vision and machine learning. In this paper, we introduce a new incremental learning procedure for principal component analysis (PCA). The proposed method can keep an accurate track of the mean of the data, and can deal with a set of new observed data in batch each time in subspace updating. Furthermore, a weighting...
In computational anatomy, statistical shape model (SSM) is used for the quantitative evaluation of variations in the shapes of different organs. This paper focuses on the construction of a SSM of the liver and its application to computer-assisted diagnosis of cirrhosis. We prove the potential application of SSMs in the classification of normal and cirrhotic livers. In constructing a SSM of the liver,...
This paper addresses the problems of feature selection and feature fusion. For the feature selection, the color SIFT descriptors in the independent components are ordered for image classification. To select distinctive and compact independent components (IC) of the color SIFT descriptors, we propose two ordering approaches based on variation: (1) Local ordering approaches (the localization-based ICs...
As the use of high-resolution digital images continues to increase, there is a growing interest in facial image warping or facial image transformation, which is the process of making visual changes to facial images. Several facial image transformation techniques have been proposed and used in many applications. However, most of these techniques warp or transform a facial image to a pre-defined target...
Recently, with the increasing of unhealthy diets and the attracted attention for healthy life, how to manage the dietary life is becoming more and more important. In this paper, we aim to construct a system, which can auto-recognize the menu contents from food image taken by mobile phone. As we know that the viewpoints can be varied in any direction when taking food images, and then, rotation-robust...
In medical imaging research, the three-dimensional (3-D) shape representation and analysis of anatomic structures using only a few parameters is an important issues, and can be applied to computer assisted diagnosis, surgical simulations, visualization, and many other medical applications. This paper proposes the representation of the shape surfaces of a simply connected 3-D object using spherical...
In medical imaging, the data resolution is usually insufficient for accurate diagnosis in clinical medicine. Especially in most case, the resolution in the slice direction (Z direction) is much lower than that of the in-plane resolution (XY direction). Therefore it is difficult to construct isotropic voxels, which is very important in 3-D visualization systems, such as surgical system. In this paper,...
Recently, analysis of facial morphology and its relationship to genes has received considerable attention. In this paper, we present a scheme of 3D shape alignment for the morphological study of human face. We employ the Cylindrical Polar transform to sample the original 3D shape data which was obtained using the 3D laser scanner. By mapping the sampled data to a 2D image, we can obtain the shape...
Successful liver surgery requires a clear understanding of the differences in liver shapes and vessel distribution in different individuals. Furthermore, in clinical medicine, there is a high demand for surgical assistance systems for individual patients. Therefore, we aim to segment the liver on the basis of the CT volume data, semi-automatically extract the vessels from the segmented livers and...
Medical images must be stored in a secure way to preserve unauthorized disclosure of patient data. This paper proposes an algorithm of robust multiple watermarks to serve these purposes using DWT and DFT. A part of sign sequence of DWT and DFT coefficients are used as feature vector for enhancing the robustness against rotation attacks, scaling attacks, translation attacks and cropping attacks. Moreover,...
Facial paralysis, the majority of which is idiopathic, causes loss of facial movement of one side. It is important to construct a facial expression databases to quantitatively evaluate this condition for early treatment of facial paralysis. Generally, the existing human facial expression databases are built using healthy volunteers for face recognition or expression recognition. In this paper, we...
When designing watermarking algorithm of the medical image, one of the principal problems faced is how to determine the region of interest (ROI). This paper proposes a zero-watermarking algorithm of the medical image using DCT, which can effectively solve this problem. This algorithm can enhance medical image security, confidentiality and integrity in the application for the clinical. The algorithm...
A variety of disorders are seen in the gastrointestinal tracts. Since symptoms of the most conditions are non-specific imaging examinations play an important role for the correct diagnosis in this clinical setting. Particularly, emergent conditions such as perforation, bowel ischemia and hemorrhage, require early diagnosis for timely and appropriate management. First line examinations are either gastro-duodenoscopy...
In clinical course of the chronic liver disease, the liver finally develops liver cirrhosis from the state of the chronic hepatitis. In the process, the patients are complicated with esophagogastric varices due to the portal hypertension and a hepatocellular carcinoma. It is very useful to be diagnosed using MDCT morphologically. A quantitative assessment has been tried from the CT images of the liver...
To achieve 3D kinematic analysis of artificial knee implants, 2D/3D registration technique, which uses X-ray fluoroscopic images and computer assisted design model of the knee implant, has been applied to clinical cases. In previous method, however, we had to set the initial pose of 2D/3D registration with manual operations, and that was one of the problems for practical clinical applications. In...
We have developed a time-shift map of the brain, which shows/ visualizes signal such as EEG and MEG etc. is transmitted/ propagated at each brain part where in each frequency band action potential information of time-to-time is transmitted to and processed at exact remote portion. Assuming the memory is composed of loop neural circuit in the cerebral cortex, we have also shown a feasibility of self...
In this paper, we propose the agent-based architecture to generate fish behaviors in Visual Marine Museum. We use immune network as a decentralized consensus-making system for the behavior arbitration. Parameters of the immune network are automatically acquired by a particle swarm optimization algorithm. Through some numerical experiments, it is observed that appropriate behaviors can be selected...
Active Appearance Model (AAM) is a popular technique for facial feature point extraction. However, conventional AAM is always viewpoint-generic, which lowers the fitting accuracy. In this paper, a viewpoint-specific AMM is proposed for robust facial point extraction under multi-viewpoint. We investigate three viewpoints, such as 0 degrees, 30 degrees, 60 degrees. The experimental results show a briefly...
Example-Based Super-Resolution is a learning-based technique that attempts to recover high-resolution (HR) image according to the corresponding relation in a set of training low-resolution (LR) and high-resolution image pairs prepared in advance. The conventional learning-based method for image super-resolution usually cannot achieve the high-frequency components accurately, which are lost in the...
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