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Ground Truth Editor - This program reads at input MR images and allows an operator to manually segment slices of interest.
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3D Viewer - This program aims at the visualization of 3D data in VTK format. One can superimpose volumetric and 3D data (surfaces). |
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Facial Expression Recognition - Facial Expression Analysis is an interdisciplinary research area that combines related areas such as psychological and behavioral studies and computer vision. The FER system has a number of application areas such as emotion communication, clinical psychology, psychiatry,pain assessment, lie detection and human computer interface. |
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Slice Matching - The aim is to retrieve relevant slice from a 3D medical image data of a subject given a query image of another subject. Such a solution can aid the medical experts in diagnosing anatomical structure specific diseases, such as basal ganglia or hypocampus disorders. |
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Patient Search - Patient-to-patient search, which can be defined as comparing multiple patients and retrieving relevant cases among them, should especially help the medical expert in diagnosis of diseases whose causes and progress have not yet been completely unraveled, and diseases that affect large number of patients such as Alzheimer’s and Parkinson’s.
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Iron Quantification - Iron accumulation in the brain is a normal process that starts after age 20 and observed in every individual. However, in those developing neurodegenerative diseases deep gray matter structures of the brain accumulate abnormal (larger) amounts of iron. Here, our aim is to analyze and quantify iron deposited in the brain using image analysis techniques. |
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Audio – Visual Speech Recognition - Automatic Speech Recognition (ASR) systems play an important role in human-computer interaction. Although ASR systems utilizing only audio information attain high recognition rates on noiseless data, recognition rates decrease significantly in situations where there is environmental auditory noise. |
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Lip Segmentation - In audio-visual speech recognition (AVSR), it is beneficial to use lip boundary information in addition to texture-dependent features. In this research, we propose an automatic lip segmentation method that can be used in AVSR systems. |
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Regularized Image Reconstruction - Our research is mostly concentrated on the selection of the regularization parameter when a non-quadratic regularizer is incorporated to the solution. |
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Logo Recognition in Videos an Automated Brand Analysis System - A novel brand logo analysis system which uses shape-based matching and scale invariant feature transform (SIFT) based matching on graphics processing unit (GPU) is proposed developed and tested. The system is described for detection and retrieval of trademark logos appearing in commercial videos. |
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Stereo Based 3D Head Pose Tracking - In this project a new stereo-based 3D head tracking technique, based on scale-invariant feature transform (SIFT) features, that is robust to illumination changes is proposed. |
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Graphical Model Based Facial Feature Point Tracking - Feature point tracking is a challenging topic in case of arbitrary head movements and uncertain data because of noise and/or occlusions. With this motivation, a graphical model that incorporates not only temporal information about feature point movements, but also information about the spatial relationships between such points is built. |
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Face Recognition from Video Using Superresolution Techniques - Performance of current face recognition algorithms reduces significantly when they are applied to low-resolution face images. To handle this problem, superresolution techniques can be applied either in the pixel domain or in the face subspace. |
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On-Line Signature Verification - On-line signature verification uses signatures
that are captured by pressure-sensitive
tablets and could be used in real time applications like credit card transactions or resource accesses. |
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Segmentation - In the framework of IronDB project, we provide results of brain Basal Ganglia organs segmentations, such as Caudate Nucleus and Putamen. |
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sabanciuniv.edu
