Bardia Yousefi

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Computational neuroscience studies through Functional magnetic resonance imaging (fMRI) claimed that human action recognition in the brain of mammalian pursues two separated pathways in the model, which are specialized for the analysis of motion (optic flow) and form information[3]. For analysis of the form information active basis model is used by(More)
Following the study on computational neuroscience through functional magnetic resonance imaging claimed that human action recognition in the brain of mammalian pursues two separated streams, that is, dorsal and ventral streams. It follows up by two pathways in the bioinspired model, which are specialized for motion and form information analysis (Giese and(More)
Research on psychophysics, neurophysiology, and functional imaging shows particular representation of biological movements which contains two pathways. The visual perception of biological movements formed through the visual system called dorsal and ventral processing streams. Ventral processing stream is associated with the form information extraction; on(More)
on computational neuroscience through functional magnetic resonance imaging (fMRI) and following biological inspired system stated that human action recognition in the brain of mammalian leads two distinct pathways in the model, which are specialized for analysis of motion (optic flow) and form information. Principally, we have defined a novel and robust(More)
The proposed Fast Incremental Slow Feature Analysis (F-IncSFA) which is considered as unsupervised learning and it can be used for extracting the features. The featurescan represent the fundamental components of the modifications in different aspect and especially in posing and temporally firms and consistent even in high-dimensional input like signal,(More)
In this paper a method for segmentation of vessels in angiographic images is addressed. In this method for detecting the vessels in one angiographic frame, whole of angiographic frames in the sequence are utilized. For this purpose, firstly Hessian based vesselness filter is applied to the angiographic sequence to make discrimination between the vascular(More)
In this paper we address the problem of face detection in grayscale images. Before make candidates we calculate membership face components that influence to make more accurate answer and rejecting false positives in detection. The proposed method detects all candidate windows that has enough membership of face components. Eyes, eyebrows and Lip are(More)
Deficiency of unsharp mask filter in elimination of some regions in IKONOS remote sensing urban image is one of serious difficulties in building extraction from such images. Sometimes, saturation of intensity levels in filtered image makes some regions of image disappear. As a compensation for this issue, in this paper a method for fusion of unsharp mask(More)
Recent progress in Thermal and infrared Non-Destructive Testing (IRNDT) in different fields have provided interesting defect detection solutions. Principal Component Analysis (PCA) based K-means clustering have been successfully introduced and used in many clustering applications. However, PCA suffers from being relatively more sensitive to the noise due to(More)