Computer Vision,Imaging and Computer Graphics

Gabor-Like Image Filtering for Transient Feature Detection and Global Energy Estimation Applied to Multi-expression Classification (Computer Vision,Imaging and Computer Graphics) Part 1

Abstract. An automatic system for facial expression recognition should be able to recognize on-line multiple facial expressions (i.e. “emotional segments”) without interruption. The current paper proposes a new method for the automatic segmentation of “emotional segments” and the dynamic recognition of the corresponding facial expressions in video sequences. First, a new spatial filtering method based […]

Gabor-Like Image Filtering for Transient Feature Detection and Global Energy Estimation Applied to Multi-expression Classification (Computer Vision,Imaging and Computer Graphics) Part 2

Feature-Based Processing of Emotional Segments Feature-based processing consists in the combination of the information resulting from the permanent and the transient facial feature deformations for the recognition of facial expressions during each emotional segment. Permanent Facial Feature Information. The permanent facial feature behavior is measured based on the work of Hammal et al., [1]. First, […]

Gabor-Like Image Filtering for Transient Feature Detection and Global Energy Estimation Applied to Multi-expression Classification (Computer Vision,Imaging and Computer Graphics) Part 3

TBM Belief Modeling In order to recognize the undergoing expression, a fusion process of the states of all the visual cues (permanent and transient facial features) is performed using the Transferable Belief Model (TBM). The TBM can be considered as an extension of Bayes’s theorem in which probability measures are replaced by belief functions, and […]

Gabor-Like Image Filtering for Transient Feature Detection and Global Energy Estimation Applied to Multi-expression Classification (Computer Vision,Imaging and Computer Graphics) Part 4

Performances and Classification Results To evaluate the performance of the proposed methods, three simulations were carried out: first, the automatic segmentation of consecutive emotional segments; second, the automatic detection of nasal root and nasolabial furrows and the estimation of their orientations; and, third, the classification of sequences of facial expressions. Recall, Precision and F-measure (which […]

Adaptive Segmentation of Particles and Cells for Fluorescent Microscope Imaging (Computer Vision,Imaging and Computer Graphics) Part 1

Abstract. Analysis of biomolecules in cells essentially relies on fluorescence microscopy. In combination with fully automatic image analysis it allows for insights into biological processes on the sub-cellular level and thus provides valuable information for systems biology studies. In this paper we present two new techniques for automatic segmentation of cell areas and included sub-cellular […]

Adaptive Segmentation of Particles and Cells for Fluorescent Microscope Imaging (Computer Vision,Imaging and Computer Graphics) Part 2

Cascaded Active Contours The cells in our microscope images show characteristic spatial intensity distributions that cannot adequately be modeled by a Gaussian distribution as underlying Er in equation (10). Rather spatial changes within the intensities need to be appropriately covered. Figure 4 (a) shows that the average intensities within the cells decrease from central nucleus […]

Improving Ventricle Detection in 3-D Cardiac Multislice Computerized Tomography Images (Computer Vision,Imaging and Computer Graphics) Part 1

Abstract. This paper reports a segmentation approach that enables detection of left ventricle in three-dimensional (3-D) cardiac images. The proposed approach has been tested using 4-D (3-D+ time) cardiac Multi-Slice Computerized Tomography (MSCT) images. The generalized Hough transform and a seed based clustering procedure are integrated into the segmentation method. The method also considers an […]

Improving Ventricle Detection in 3-D Cardiac Multislice Computerized Tomography Images (Computer Vision,Imaging and Computer Graphics) Part 2

Unsupervised Segmentation Pre-processing. Mathematical morphological operators are used for implementing the filters aimed at enhancing the LV information. These morphological operators are based on non-linear operations between the original image (I) and a set of additional points known as structuring element (B) [20]. The applied filters are based on the top-hat transform. This transform is […]

Closing the Gap: From Planning to Intervention in Cardiology (Computer Vision,Imaging and Computer Graphics) Part 1

Abstract. It is likely that in the near future the diagnostic of coronary arteries will be done using non-invasive computed tomography angiography and that only the intervention, if necessary, will be carried out using invasive techniques. Pre interventional gathered CTA data can be used to carry out an automated quantitative analysis of the arteries, which […]

Closing the Gap: From Planning to Intervention in Cardiology (Computer Vision,Imaging and Computer Graphics) Part 2

Methods The following subsection gives an overview of used algorithms to extract the heart, segment arteries and generate DRRs. Afterwards our registration method is described. Image Processing Cardiac CT data normally contains non-cardiac structures such as ribs, lungs or the sternum. These structures obscure the view to the heart, but an isolated heart is necessary […]

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