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Tele-presence and tele-immersion systems are growing to be more realistic these years. However, few show practical experiences in Internet wide tele-immersion, especially in acceptable end-to-end delay. We present a framework for multi-party tele-immersion applications that allow remote collaborative 3D interactions. This framework performs real-time stereo modeling based on the bumblebee cameras...
Facial rejuvenation has driven a lot of research in the field of dermatology and plastic surgery, leading to many medical procedures. This paper proposes an age prediction method that could be used to better understand the ageing process and to evaluate the benefits of a rejuvenating treatment, for example. A supervised Facial Model (SFM) is built using Partial Least Squares regression (PLSR) to capture...
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, using group sparsity. Because of the large variations in image appearance due to changes of illumination, specular reflections and other visual noise, the two classes have a strong overlap in feature space, whether features...
A novel emotion recognition system has been proposed for classifying facial expression in videos. Firstly, two types of basic facial appearance descriptors were extracted. The first type of descriptor, called Motion History Histogram (MHH), was used to detect temporal changes of each pixels of the face. The second type of descriptor, called Histogram of Local Binary Patterns (LBP), was applied to...
Recently developed appearance descriptors offer the opportunity for efficient and robust facial expression recognition. In this paper we investigate the merits of the family of local binary pattern descriptors for FACS Action-Unit (AU) detection. We compare Local Binary Patterns (LBP) and Local Phase Quantisation (LPQ) for static AU analysis. To encode facial expression dynamics, we extend the purely...
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many anatomic structures. However, images acquired using these different acquisition techniques frequently have features of poor contrast, blurring and noise, and therefore the segmentation result of traditional image segmentation...
In this paper we compare different approaches to combine color and statistical texture descriptors. Previous studies on this topic were conducted on natural images only. We focus on the particular case of histological datasets where color plays an important role due to the staining process of the biological samples. We also introduce two new variants of the well-known Local Binary Patterns (LBP) operator...
Diagnosis of white matter damage by neonatal cranial ultrasound (CrUS) is subject to inter-observer variability and has a low sensitivity to detect late abnormal neurodevelopment in life. In the last decades there have been a significant effort reporting that statistical features of ultrasound images carry important information associated with changes of tissue microstructure. In this work we explored...
In this paper, we propose a new approach for color textured image segmentation. It is a two stage technique, where in the first stage, textural features using gray level co-occurrence matrix (GLCM) are computed for regions of interest (ROI)considered for each class. ROI act as ground truths for the classes. Ohta model (I1, I2, I3) is the colour model used for segmentation. Mean at inter pixel distance...
Acute lymphoblastic leukemia (ALL) are a group of hematological neoplasia of childhood which is characterized by a large number of lymphoid blasts in the blood stream. ALL makes around 80% of childhood leukemia and it mostly occur in the age group of 3-7. The nonspecific nature of the signs and symptoms of ALL often leads to wrong diagnosis. Diagnostic confusion is also posed due to imitation of similar...
In this paper, a new approach for computing different anatomical regions in dental Computed Tomography (CT) is presented. The approach consists of two steps. First, a HU threshold window sets to separate between different regions upon their gray-level values; second, a set of objects are generated and texture descriptors are calculated for selected windows from the image data sample. Finally, identification...
In this paper we propose a low-complexity image stitching algorithm. By using the developed algorithm, users can automatically merge images into a panoramic image, even these source images have rotation and zooming actions. We adopt feature-base estimation to get the relation between images and employ down-sampling to reduce computing complexity. We also apply a copy-paste and texture-base scheme...
This paper proposes a general benchmark for interactive segmentation algorithms. The main contribution can be summarized as follows: (I) A new dataset of fifty images is released. These images are categorized into five groups: animal, artifact, human, building and plant. They cover several major challenges for the interactive image segmentation task, including fuzzy boundary, complex texture, cluttered...
Background subtraction is a common method for detecting moving objects, but it is yet a difficult problem to distinguish moving objects from backgrounds when these backgrounds change significantly. Hence, we propose a method for detecting moving objects with a background model that covers dynamic changes in backgrounds utilizing a spatio-temporal texture named “Space-Time Patch”, which describes motion...
The deep research is done in this paper for the images with weld-seam through the reflect arc light from reflector beamed to the surface of well-meant. Firstly, according to the method of texture, the coordinates of the weld center in the small area are determined. Secondly, the types of the weld in the images are determined by using the rate of change of 1st derivative changes. Thirdly, recognition...
In this paper, we propose a content-aware noise reduction (NR) method for the Digital TV, which preserves image textures and edges. In the proposed method, noise is first reduced by a temporal recursive NR filter and then further suppressed by a spatial NR filter. To preserve the image texture, the saliency map which accurately represents edges in a noisy image is employed in the spatial filter. Experimental...
As texture information among pixels can be effectively represented using Local binary patterns (LBPs), image descriptors built using LBPs or its variants have been frequently used for various image analysis applications, e.g. medical image and texture image classification and retrieval. However, neither LBP nor any of its existing variants can be used to build descriptors for classifying multimodal...
Traditional approaches to face recognition have utilized aligned facial images containing both shape and texture information. This paper analyzes the contributions of the individual facial shape and texture components to face recognition. These two components are evaluated independently and we investigate methods to combine the information gained from each of them to enhance face recognition performance...
Vega has been widely used in Virtual Reality (VR) field. Vega infrared (IR) module can implement IR simulation, but Vega IR imaging simulation's general approach does not apply to large-scale scene's infrared simulation problem. This article deeps into large-scale scene IR image simulation through Vega infrared module based on visible image, the scene's corresponding Digital Elevation Model (DEM)...
The local binary pattern (LBP) method has been widely used in texture analysis because it is excellent property of gray scale invariant. Following the basic idea of the LBP method, many robust versions of the LBP are proposed to class textures, especially the rotational textures. Conventional local binary pattern methods for texture classification are only good for common illumination changes, and...
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