Research Expo
Research Exhibitions and Demonstrations
[Vijayan K. Asari]
Brother Joseph W Stander Symposium 2020 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (22 April 2020)
Presentation 1: UNet-based Deep Neural Network for 3D Lung Segmentation (Dhaval Kadia)
Presentation 2: Mapping both accumulation and ablation zone of the glacier using deep-learning (Zhiyuan Xie)
Poster 1: DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation (Nina Varney)
Poster 2: Semi Supervised Learning for Accurate Segmentation of Roughly Labeled Pathological Data (Rachel Rajan)
Poster 3: Multi-modal Data Analysis and Fusion for Robust Object Detection in 2D/3D Sensing (Quinn Graehling and Jonathan Schierl)
Poster 4: Comparative Study of Region Localization Methods with Image Enhancement for Computer Vision (Quinn Graehling)
Brother Joseph W Stander Symposium 2019 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (24 April 2019)
Poster 1: Medical Image Denoising with Deep Convolutional Neural Networks (Zahangir Alom)
Poster 2: Multi-Integrated Segmentation Approaches for Permafrost Lakes Observed in Satellite Images (Ming Gong)
Poster 3: Multi-Dimensional Lung Segmentation using Deep Learning (Dhaval Dilip Kadia)
Poster 4: Computer Vision Pedestrian Awareness System (Mohammad T A A Alhumoud, Noh Essa Alluwaimi, Abdul Aziz A H A M Baroun, Jonah Kelly Connelly, Junda Jiang)
Poster 5: Resolution Exploration using Two-Dimensional Deep Learning Architectures (Brandon Montel Payne)
Poster 6: Real-time 3D Scene Reconstruction with Surface Optimization (Ruixu Liu)
Poster 7: Medical Image Segmentation using Deep Convolutional Neural Networks (Zahangir Alom and Ranga Burada)
Poster 8: Medical Image Denoising with Deep Convolutional Neural Networks (Zahangir Alom)
Poster 9: Natural Language Processing: A Look Into How Computers Understand Human Language (Brad Richard Sorg)
Poster 10: Quaternion Neural Networks for Sequence Classification (Cameron E Long)
Poster 11: Automated Player and Field Tracking (Ruixu Liu )
Poster 12: Deep learning based Machinery Threat Detection on Pipeline Right of Way (Ruixu Liu)
Poster 13: Object Classification using Neuromorphic Cameras (Wes Baldwin)
Poster 14: Deep Learning and Object Detection in 3D (Quinn Robert Graehling)
Poster 15: GlacierNet: A Deep Learning Architecture for Debris-Covered Glacier Mapping (Zhiyuan Xie)
Poster 16: Synthetic Aperture Radar (SAR) Image Analysis of Barrow Area (Ming Gong)
Poster 17: Resolution exploration using Two-Dimensional Deep Learning Architectures for Infrared Data Captures (Jonathan Paul Schierl)
Brother Joseph W Stander Symposium 2018 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (18 April 2018)
Poster 1: Brain machine interface software application for data collection, thought analysis, and robotic arm control
Poster 2: Mobile Sensor Lab
Poster 3: A survey of tundra lake size changes during around 40-year time interval observed in historical maps and satellite images
Poster 4: Real-time camera tracking and 3D scene reconstruction based on pose graph
Poster 5: Multi-feature fusion approach for object classification on oil/gas pipeline right-of-ways
Poster 6: Human detection on omnidirectional camera imagery by multi-feature fusion based on gradients, color and local phase information
Poster 7: Convolutional neural network based multi-view object classification
Brother Joseph W Stander Symposium 2017 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (05 April 2017)
Poster 1: 3D Indoor Scene Reconstruction using RGB-D Sensor
Poster 2: Automatic Intrusion Detection on Oil/Gas Pipeline Right-of-Ways
Poster 3: Bicycle Safety Project
Poster 4: Boosted Ringlet Features for Visual Object Tracking
Poster 5: Camera pose estimation for 3D scene reconstruction based key frame extraction
Poster 6: CNN Based HAPNet for Deep Learning
Poster 7: Electroencephalographic Signal Classification for Robotic Arm Control
Poster 8: High-Speed Automatic Human Face Recognition System
Poster 9: Integrated Shape and Texture Features for Robust Pedestrian Detection
Poster 10: Local Difference Sign-Magnitude Transform of Edge/Corner Features for Robust Face Recognition
Poster 11: Rear Eye Vision for Enhanced Safety in Autonomous Navigation
Poster 12: Remote Sensing: Natural Gas Detection with Infrared (IR) Spectrum
Poster 13: Single Image Super-resolution for Polarimetric Imagery
Brother Joseph W Stander Symposium 2016 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (20 April 2016)
Poster 1: Depth Perception for Obstacle Avoidance using Robust Artificial Intelligence-based Defense Electro Robot (RAIDER)
Poster 2: Frame Redundancy Elimination Technology for Big Data Analysis
Poster 3: An Efficient Brain-like Learning Machine to Mimic Human Perception
Poster 4: Object Detection Through 2D-3D Visible and Hyperspectral Imagery
Poster 5: Object Tracking using Statistic-based Feature Fusion Technique
Poster 6: Brain Machine Interface
Poster 7: 3D scene reconstruction and change detection using RGB-D sensor data
Poster 8: Image Interpolation Using Fourier Phase Features
Poster 9: Shadow Detection Preprocessing for Computer Vision Technologies
Poster 10: Automated Oil/Gas Leak Detection System
Poster 11: Automatic Building Detection in Wide Area Imagery
Brother Joseph W Stander Symposium 2015 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (15 April 2015)
Poster 1: Brain machine interface for a robotic arm
Poster 2: Automatic building change detection by 2D and 3D representation for wide area surveillance
Poster 3: Automatic intrusion detection on pipeline right-of-way via aerial imagery
Poster 4: Determining volume changes from overhead video surveillance
Poster 5: A self-organizing maps approach to segmenting tumors in computed tomography (CAT) and magnetic resonance imaging (MRI) scans
Poster 6: Three-dimensional point cloud representation of surveillance scenes in real-time
Poster 7: Automatic perception and target detection in LiDAR data
Poster 8: Classification of vehicles using monocular 3D reconstruction
Poster 9: Directional ringlet intensity feature transform for pedestrian tracking
Poster 10: Rotation, scaling and illumination invariant pattern recognition using joint transform correlation for object detection and tracking
Poster 11: Robust textural features for real time face recognition
Brother Joseph W Stander Symposium 2014 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (09 April 2014)
Poster 1: LiDAR data analysis for region segmentation and object classification
Poster 2: Visibility improvement through hyperspectral band integration
Poster 3: Advanced image processing for automatic pipeline right-of-way threat detection
Poster 4: Optical flow based Kalman tracker for body joint prediction and tracking using HOG-LBP matching
Poster 5: Human Re-Identification in Multi-Camera Systems
Poster 6: Rotation-invariant feature tracking using Gaussian ringlet intensity distributions (GRID)
Poster 7: Nonlinear image enhancement and super resolution for enhanced object tracking
Poster 8: Brain machine interface for controlling a robot arm
Poster 9: Brain machine interface collection of EEG signals for controlling a robot arm
Poster 10: High resolution 3D reconstruction using a hexacopter drone
Poster 11: An interactive robust artificial intelligence-based defense electro robot (RAIDER) using a pan-tilt-zoom camera
Poster 12: Regression based time-invariant modeling of motion-shape based features for human action recognition
Poster 13: 3D anomaly detection using structure from motion
Poster 14: Real-time object segmentation from network camera using touch screens
Brother Joseph W Stander Symposium 2013 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (17 April 2013)
Poster 1: Video segmentation for automatic extraction of human body region for action and activity recognition
Poster 2: An automatic visibility improvement and object detection system for wide area surveillance applications
Poster 3: Multi-scale local fourier phase based feature learning for single image super resolution
Poster 4: Enhancement of images captured in complex lighting environments for visual quality improvement
Poster 5: An automatic and locally tunable transformation function for fog and haze removal in aerial imagery
Poster 6: Analysis of EEG signals for the recognition of emotional states
Poster 7: Brain machine interface using electroencephalograph data as control signals for a robotic arm
Poster 8: Pose invariant face recognition and tracking for human identification
Poster 9: Automatic scene rendering for unmanned aerial systems
Poster 10: Wide area surveillance for security automation
Poster 11: EEG action encoding
Poster 12: Image registration, moving object detection and tracking in wide area motion imagery
Poster 13: Water body segmentation in aerial imagery
Poster 14: Regression based learning of human actions from video using histogram of flow and local binary flow patterns
Poster 15: Intrusion detection on oil pipeline right of way (row) using monogenic signal representation
Poster 16: Robust artificial intelligence-based defense electro robot (RAIDER)
Poster 17: Facial axpression analysis
Poster 18: Detection of whale blows in infrared video
Poster 19: Extracting context information from aerial imagery for aiding threat detection
IS&T/SPIE Electronic Imaging 2013: IS&T/SPIE International Conference on Electronic Imaging
San Francisco, California, USA. (February 03-04, 2013)
Electronic Imaging Demonstration Session: Object Tracking in Wide Area Motion Imagery (Demonstration of image registration, moving object detection and object tracking in WAMI data. Innovative feature extraction methods in low resolution imagery. Successful performance in CLIF data.)
Brother Joseph W Stander Symposium 2012 (Vision Lab Presentations)
University of Dayton, Dayton, OH, USA. (17 April 2012)
Poster 1: A fast and adaptive technique for hazy/foggy image enhancement
Poster 2: Phase space analysis to detect and remove rain from video
ODU-NSU-EVMS-VTC Research Exposition Day (Vision Lab Presentations)
Ted Constant Hall
Norfolk, Virginia, USA. (April 09, 2008)
Poster 1: Pattern recognition using adaptive progressive thresholding and shifted phase-encoded joint transform correlation
Poster 2: Vision-based capability enhancement for low-cost surveillance robots
Poster 3: Master-slave camera system for long range person tracking and identification
Poster 4: Small boat detection in visible and infrared images using morphology-based segmentation
Poster 5: Manifolds for face recognition
Poster 6: Creation of large 2D face database based on analytical 3D face model using minimum 2D images
Project Demonstration: Vision based robot navigation, face detection, tracking and recognition
ODU-NSU-EVMS-VTC Research Exposition Day (Vision Lab Presentations)
Ted Constant Hall
Norfolk, Virginia, USA. (April 05, 2007)
Poster 1: State of mind recognition
Poster 2: A modular approach for skin region extraction using color manifold
Poster 3: Long-range target classification in a cluttered environment using multi-sensor image sequences
Poster 4: Nonlinear enhancement of extremely high contrast images
Poster 5: A robust algorithm for real-time stabilization of shaky video captured under low lighting conditions
Poster 6: Pose and lighting invariant real-time face recognition system
Poster 7: Long range face recognition
Poster 8: Super-resolution of image sequences
Poster 9: Multiview face detection
Poster 10: Robotic nose for the detection of improvised explosive devices
Poster 11: Image luminance and contrast enhancement, and denoising
Poster 12: Face recognition under arbitrary lighting conditions using spherical harmonics
Poster 13: Adaptive local contrast enhancement applied to super-resolution image recreation
Project Demonstration 1: Automatic face recognition in video
Project Demonstration 2: Real-time skin segmentation (hardware)
Project Demonstration 3: Real-time face tracking and PTZ camera control
Project Demonstration 4: Face authentication
ODU-NSU-EVMS Research Exposition Day (Vision Lab Presentations)
Ted Constant Hall
Norfolk, Virginia, USA. (April 05, 2006)
Poster 1: Multi-sensor fusion for face recognition and surveillance
Poster 2: Image fusion for visibility improvement of digital color images
Poster 3: Image registration and super-resolution
Poster 4: Explosive detection using chemical vapor sensors
Project Demonstration 1: Multi-sensor image fusion for surveillance and object identification in extremely dark environment
Project Demonstration 2: Person tracking and identification with computer controlled cameras using visual cues
Project Demonstration 3: Advanced multimodal human-computer interaction environment
ODU-NSU Research Exposition Day (Vision Lab Presentations)
Ted Constant Hall
Norfolk, Virginia, USA. (April 06, 2005)
Poster 1: Self-organizing line attractor for pattern association, classification and prediction
Poster 2: Driver’s assistant for visibility improvement
Project Demonstration: Automatic face recognition in video
ODU Research Exposition Day (Vision Lab Presentations)
Ted Constant Hall
Norfolk, Virginia, USA. (March 23, 2004)
Poster 1: Nonlinear techniques for image enhancement
Poster 2: Automatic face detection and recognition
Project Demonstration: Real-time enhancement of video
Department of Electrical and Computer Engineering
300 College Park Ave, Dayton, OH 45469, USA