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Image completion is to recover its damaged regions to get a visually satisfactory result. Recently, exemplar-based method is an important method, which propagates sample patches into unknown regions from known regions. It should take two steps. The first is to search for the most matching patch in another same intact image, or the other part of this image, and the second is to inpaint the damaged...
This paper presents a computational performance analysis of an accelerated medical image registration using Graphics Processing Units (GPUs). In our previous work, a multi-resolution approach using normalized mutual information (NMI) has proven to be useful in medical image registration. In this paper, we propose an acceleration of the NMI procedure using GPU implementation because of the parallel...
In this paper we present a novel silhouette-based method to estimate 2D human pose. It takes a pre-defined human skeleton model as the prior information and a video sequence as the data source, and estimates human pose in each frame by the following steps: Firstly, the Gaussian Mixture Background Model (GMM) is adopted to extract silhouette from an image and this silhouette will be the human body...
This paper presents a robust real-time method for general detection of abandoned and removed objects from surveillance videos. The system introduces a unique combination of a new pixel-wise static region detector and a novel abandoned/removed object classifier based on color richness. In the static region detection phase, two backgrounds are constructed respectively to build foreground and stationary...
A novel face tracking algorithm is proposed which is less insensitive to large face appearance variation caused by lighting and viewpoints. The proposed dynamic face appearance model includes an illumination invariant pose manifold to represent the pose nonlinearity and an object-specific incremental multi-pose face model. The pose manifold is built with the patch alignment algorithm, where the tensor...
On the base of FCM arithmetic which is in existence, in order to get the preferable separating effect, we bring forward an adaptive algorithm for the weight of the feature weighted of FCM which founds on the feature contribution balance principle and the most separate degree principle of intra-cluster. The arithmetic avoids each feature of the feature data originated can't be compared non-comparatives...
In this paper, we propose a novel pattern to represent spatio-temporal information of gait appearance which is called Gait Principal Component Image (GPCI). GPCI is a grey-level image which compresses the spatiotemporal information by amplifying the dynamic variation of different body part. The detection of gait period is based on LLE coefficients and it is also a new attempt. KNN classifier is employed...
Blind digital image forensics, aims at identifying the authenticity and origin of the digital images without any embedding information beforehand, has become one of the research hot spots recently. Resampling, as a kind of tampering manipulation, will change the statistical features of the images. In this paper, the specific statistical changes brought into the linear dependencies among image pixels...
In order to mimic the representation of textual documents, some approaches have recently been proposed to represent visual contents in terms of visual words in many applications such as object recognition and image annotation. In this paper, we propose to build an effective visual vocabulary by using Hierarchical Gaussian Mixture model instead of traditional clustering methods. In addition, Probabilistic...
Calculation of surface temperature was the first and important step in ground target infrared feature analysis and simulation. Focus on it, this paper analyzed the factors which effect the ground target surface temperature based on the limit of finite difference in building target surface temperature field and integrated the theory of calorifics and infrared physics. Meanwhile, the building target...
Recently, keypoint descriptors such as Scale Invariant Feature Transform (SIFT) have been proved promising in similarity retrieval of images, which adopts matching score as similarity. However, the matching score is easy to be decreased once there are little variances between image details, and hence lead to low retrieval performance. In this paper, we propose a novel retrieval approach that improves...
Clouds play an important role for creating realistic images of outdoor scenes. Many methods have been proposed for modeling and rendering clouds. Among these methods, Dobashi et al. proposed a simple but efficient cloud rendering algorithm based on splatting algorithm and take into account single scattering in couds. This algorithm has been used in many papers to generate realistic clouds images....
Palmprint identification is the means of recognizing an individual from the database using his or her palmprint features. This paper presents a palmprint recognition method by finding common features that can be shared across the classes (different persons), which is a welcome contrast to the existing approaches. At present almost all research is on low resolution images for civil and commercial applications,...
Due to tremendous progress in spatial resolution in an imagery obtained from space born platforms such as Ikonos, World-view1, IRS series, methods of segment based image analysis for generating and updating geographical information are becoming more and more important. Detailed information about the objects including their shadows is now possible to extract from remote sensing data. In this paper,...
Shot boundary detection is an important fundamental process in video analysis. A novel shot boundary detection is proposed in this paper. To improve the performance of the algorithm and reduce the computational cost, frames that are clearly not shot boundaries are first removed from the original video. After that, new features are proposed to capture the changing statistics of different kinds of shot...
This paper proposes a new powerful distance measure called Normalized Unmatched Points (NUP). This measure can be used in a face recognition system to discriminate facial images. It works by counting the number of unmatched pixels between query and database images. A face recognition system has been proposed which makes use of this proposed distance measure for taking the decision on matching. This...
This paper presents a methodology to create 3D visualization from discrete event simulation for simulation of electronics assembly processes. The methodology connects discrete event simulation directly to 3D animation with its novel methods of converting discrete simulation results into animation events to trigger 3D animation. It also develops a 3D animation framework for the visualization of discrete...
The effects of non-brain signal change of 0.35T fMRI (functional Magnetic Resonance Imaging) can be eliminated by combining explicitly mask image with Voxel-based Morphometry analysis. The challenge is from confusion of fMRI data at low field. Using brain tissue threshold statistical map can make analysis only for signal change within brain tissue. It uses the extracted brain tissue resulting from...
As the newest video coding standard, H.264/AVC uses the rate distortion optimization(RDO) method to select the optimal coding mode after the calculation of all the possible modes. The computational complexity is increased drastically, so it isn't fit for real time encoding and hardware design. In this paper, we propose a fast intra mode decision algorithm based on texture feature for H.264/AVC. First...
In this paper, we present a visual system to drive an autonomous small-scale helicopter to track a ground target. The vision system is monocular, and the on-board camera is fixed. Since the time-varying attitude of helicopter can bring trouble to vision algorithm design, we developed an attitude compensation algorithm. The real flight experiments show that the vision system can perform in real-time,...
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