61 Publications by "H. Aliakbarpour"

38 CIVA Publications and 23 external publications


#358: K. Nouduri, K. Gao, J. Fraser, S. Yao, H. AliAkbarpour, F. Bunyak, and K. Palaniappan

Deep realistic novel view generation for city-scale aerial images

IEEE International Conference on Pattern Recognition (ICPR), pgs. 7, 2021

3d voxel rendering, denoising, convolutional neural networks, synthetic aerial imagery, point cloud evaluation

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#338: S. Yao, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

City-Scale Point Cloud Stitching Using 2D/3D Registration for Large Geographical Coverage

International Conference on Pattern Recognition, pgs. 32--45, 2021

Abstract, Bibtex, PlainText, PDF, Google Scholar
#356: H. AliAkbarpour, K. Gao, R. Aktar, S. Suddarth, and K. Palaniappan

Structure from motion and mosaicking for high-throughput field-scale phenotyping

High-Throughput Crop Phenotyping, Springer International Publishing, pgs. 55--69, 2021

structure-from-motion (sfm), video stabilization, image registration, orthorectification, mosaicking

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar
#337: N. Al-Shakarji, K. Gao, F. Bunyak, H. Aliakbarpour, E. Blasch, P. Narayaran, G. Seetharaman, and K. Palaniappan

Impact of georegistration accuracy on wide area motion imagery object detection and tracking

IEEE International Conference on Information Fusion (FUSION), pgs. 1-8, 2021

deep learning, fusion, wami, object detection, multi-object tracking, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#331: K. Gao, H. Aliakbarpour, J. Fraser, K. Nouduri, F. Bunyak, R. Massaro, G. Seetharaman, and K. Palaniappan

Local feature performance evaluation for Structure-from-Motion and multi-view stereo using simulated city-scale aerial imagery

IEEE Sensors Journal, Volume 21, pgs. 11615 - 11627, 2020

local feature detector, sift, surf, orb, akaze binary feature, mser, lf-net, superpoint, image matching, photogrammetry, camera pose, bundle adjustment, simulation environments, virtual reality, augmented reality

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#334: K. Gao, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

DCT-based local descriptor for robust matching and feature tracking in wide area motion imagery

IEEE Geoscience and Remote Sensing Letters, pgs. 1-5, 2020

3d stereo, aerial video, convolutional neural network, cnn, dct, feature descriptor, matching, point correspondences, spatial frequency

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#323: R. Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, and K. Palaniappan

Mosaicing of Dynamic Mesentery Video with Gradient Blending

IEEE International Conference on Image Processing (ICIP), pgs. 563-567, 2020

Bibtex, PlainText, DOI, Google Scholar
#321: D. K. Ufuktepe, J. Collins, H. AliAkbarpour, P. Narayanan, G. Seetharaman, and K. Palaniappan

Short-term video stabilization using ground plane segmentation for low altitude UAV object tracking (conference presentation)

Geospatial Informatics X, Volume 11398, pgs. 113980B, 2020

Abstract, Bibtex, PlainText, PDF, Google Scholar
#320: K. Nouduri, F. Bunyak, S. Yao, H. Aliakbarpour, S. Agarwal, R. Rao, and K. Palaniappan

Deep Learning Based Landmark Matching For Aerial Geolocalization

2020 IEEE International Conference on Image Processing (ICIP), pgs. 1911-1915, 2020

Bibtex, PlainText, PDF, DOI, Google Scholar
#315: N. Al-Shakarji, E. Ufuktepe, F. Bunyak, H. Aliakbarpour, G. Seetharaman, and K. Palaniappan

Semi-automatic system for rapid annotation of moving objects in surveillance videos using deep detection and multi-object tracking techniques

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-6, 2020

ground truth generator, object annotation, deep learning, object detection, tracking

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#313: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling

Machine Vision and Navigation, Springer International Publishing, pgs. 579--595, 2020

video stabilization, image registration, georegistration, camera parameter optimization, homography, parallax, 3d

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#311: R. Aktar, D. E. Kharismawati, K. Palaniappan, H. Aliakbarpour, F. Bunyak, A. E. Stapleton, and T. Kazic

Robust mosaicking of maize fields from aerial imagery

Applications in Plant Sciences, Volume 8, pgs. e11387, 2020

aerial imagery, crop field imagery, maize, mosaicking, small unmanned aerial system (suas), video summarization

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#310: S. Yao, Y. Wang, H. AliAkbarpour, G. Seetharaman, R. Rao, and K. Palaniappan

SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis

2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1--6, 2020

Abstract, Bibtex, PlainText, PDF, Google Scholar
#308: R. Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, and K. Palaniappan

Mosaicing of dynamic mesentery video with gradient blending

IEEE International Conference on Image Processing (ICIP), pgs. 563--567, 2020

normalize cross correlation, gradient blending, mosaicing, registration, biomedical, mesentery

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#336: E. Ufuktepe, V. Ramtekkar, K. Gao, N. Al-Shakarji, J. Fraser, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

pyTAG: Python-based interactive training data generation for visual tracking algorithms

Proc. SPIE Conf. Geospatial InfoFusion X (Defense + Commercial Sensing), Volume 11398, 2020

ground-truth generation, visual tracking, crowd sourcing, annotation, deep learning

Abstract, Bibtex, PlainText, Software, URL, DOI, Google Scholar
#302: K. Gao, S. Yao, H. AliAkbarpour, S. Agarwal, G. Seetharaman, and K. Palaniappan

Sensitivity of multiview 3D point cloud reconstruction to compression quality and image feature detectability

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-6, 2019

jpeg compression, feature detection, 3d reconstruction, evaluation

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#295: N. Al-Shakarji, F. Bunyak, H. Aliakbarpour, G. Seetharaman, and K. Palaniappan

Performance evaluation of semantic video compression using multi-cue object detection

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-8, 2019

deep learning, object detection, data compression, video surveillance, image motion analysis, saliency

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#304: N. Al-Shakarji, F. Bunyak, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

Multi-cue vehicle detection for semantic video compression in georegistered aerial videos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pgs. 56-65, 2019

deep learning, object detection, data compression, video surveillance, image motion analysis

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#278: R. Aktar, H. Aliakbarpour, F. Bunyak, G. Seetharaman, and K. Palaniappan

Performance evaluation of feature descriptors for aerial imagery mosaicking

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-7, 2018

features, mosaicing, performance evaluation, aerial video

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#287: S. Yao, H. Yu, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

EpiX: A 3D Measurement Tool for Heritage, Archeology and Aerial Photogrammetry

Springer Book Chapter, 2018

cultural heritage, wide-area motion imagery, annotation tool, epipolar geometry

Abstract, Bibtex, PlainText, PDF, Google Scholar
#292: S. Yao, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

3D patch-based multi-view stereo for high-resolution imagery

Geospatial Informatics, Motion Imagery, and Network Analytics VIII, pgs. 1-9, 2018

3d patch-based mvs, wami, 3d reconstruction, photometric consistency

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#276: E. Teters, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan

Real-time geoprojection and stabilization on airborne GPU-enabled embedded systems

SPIE Geospatial Informatics, and Motion Imagery Analytics VIII, Volume 10645, pgs. 106450H, 2018

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#285: R. Aktar, H. AliAkbarpour, F. Bunyak, T. Kazic, G. Seetharaman, and K. Palaniappan

Geospatial content summarization of UAV aerial imagery using mosaicking

International Society for Optics and Photonics, Volume 10645, pgs. 106450I, 2018

aerial imagery, mosaicking, registration, summarization, feature based registration.

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#286: K. Gao, H. AliAkbarpour, K. Palaniappan, and G. Seetharaman

Evaluation of feature matching in aerial imagery for Structure-from Motion and bundle adjustment

International Society for Optics and Photonics, Volume 10645, pgs. 106450J, 2018

feature matching, evaluation, structure-from-motion, 3d reconstruction

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#253: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Parallax tolerant aerial image georegistration and efficient camera pose refinement - Without piecewise homographies

IEEE Transactions on Geoscience and Remote Sensing, Volume 55, pgs. 4618-4637, 2017

cameras, image registration, remote sensing, 3d reconstruction, mavmap, parallax-tolerant aerial image georegistration, pix4d, sfm method, structure from motion, visualsfm, camera metadata measurement, camera pose refinement, camera-induce

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar
#263: H. Aliakbarpour, J. F. Ferreira, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, and J. Dias

A probabilistic framework for 3D reconstruction using heterogeneous sensors

IEEE Sensors Journal, Volume 17, pgs. 2640-2641, 2017

3d reconstruction, depth sensor, sensor fusion

Abstract, Bibtex, PlainText, DOI, Google Scholar
#264: H. Aliakbarpour, J. F. Ferreira, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, and J. Dias

A probabilistic framework for 3D reconstruction using heterogeneous sensors

IEEE Sensors, Volume 17, pgs. 1-2, 2017

3d reconstruction, depth sensor, sensor fusion

Abstract, Bibtex, PlainText, DOI, Google Scholar
#262: A. Akay, H. AliAkbarpour, K. Palaniappan, and G. Seetharaman

Camera Auto-calibration for Planar Aerial Imagery Supported by Camera Metadata

Applied Imagery Pattern Recognition (AIPR), 2017

auto-calibration, planar scene reconstruction, metadata recovery, aerial imagery

Abstract, Bibtex, PlainText, PDF, Google Scholar
#254: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Oblique Aerial Image Georegistration and Efficient Camera Pose Refinement Without Correspondence-based Homographies

IEEE Transactions on Geoscience and Remote Sensing, 2017

registration, 3d reconstruction

Bibtex, PlainText, Google Scholar
#230: K. Palaniappan, M. Poostchi, H. Aliakbarpour, R. Viguier, J. Fraser, F. Bunyak, A. Basharat, S. Suddarth, E. Blasch, R. Rao, and G. Seetharaman

Moving object detection for vehicle tracking in wide area motion imagery using 4D filtering

Proc. IEEE International Conference on Pattern Recognition (ICPR), 2016

wami, tracking

Abstract, Bibtex, PlainText, URL, Google Scholar
#219: R. Aktar, V. B. S. Prasath, H. Aliakbarpour, U. Sampathkumar, G. Seetharaman, and K. Palaniappan

Video haze removal and Poisson blending based mini-mosaics for wide area motion imagery

Proc. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-7, 2016

haze removal, blending, mosaicing, wami

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#234: H. Aliakbarpour, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, and J. Dias

Heterogeneous multi-view information fusion: Review of 3-D reconstruction methods and a new registration with uncertainty modeling

IEEE Access , Volume 4, pgs. 8264-8285, 2016

registration, 3d reconstruction, uncertainty modeling, sensor fusion

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#223: M. Poostchi, H. Aliakbarpour, R. Viguier, F. Bunyak, K. Palaniappan, and G. Seetharaman

Semantic depth map fusion for moving vehicle detection in aerial video

Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pgs. 32-40, 2016

wami, tracking, fmv, features, motion, image analysis

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#205: H. AliAkbarpour, K. Palaniappan, and G. Seetharaman

Fast structure from motion for sequential and wide area motion imagery

Proc. IEEE International Conference on Computer Vision Workshop (ICCVW) Video Summarization for Large-scale Analytics Workshop, 2015

structure from motion, 3d reconstruction, bundle adjustment, wami

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#209: R. Viguier, C. C. Lin, H. AliAkbarpour, F. Bunyak, S. Pankanti, G. Seetharaman, and K. Palaniappan

Automatic video content summarization using geospatial mosaics of aerial imagery

IEEE International Symposium on Multimedia (ISM), pgs. 5pp, 2015

video summarization, mosaicing, geospatial

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#195: H. Aliakbarpour, K. Palaniappan, and G. Seetharaman

Robust camera pose refinement and rapid SfM for multiview aerial imagery—Without RANSAC

IEEE Geoscience and Remote Sensing Letters, Volume 12, pgs. 2203-2207 , 2015

3d reconstruction, wami, shape from motion

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#178: A. Gning, W. T. L. Teacy, R. Pelapur, H. AliAkbarpour, K. Palaniappan, G. Seetharaman, and S. J. Julier

The effect of state dependent probability of detection in multitarget tracking applications

Proc. SPIE Conf. Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II (Defense, Security and Sensing), Volume 9089, 2014

tracking, multitarget, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#170: H. Aliakbarpour, O. Tahri, and H. Araujo.

Image-based Servoing of non-Holonomic Vehicles using non-Central Catadioptric Cameras.

Proc. of IEEE 9th International Workshop on Robot Motion and Control, 2013

Bibtex, PlainText, Google Scholar
#175: H. Aliakbarpour, H. Aliakbarpour, and H. Naseh

3D Reconstruction of Human/Object using a Network of Cameras and Inertial Sensors.

Scholar's Press, 2013

Bibtex, PlainText, ISBN-13: 978-3639510638, Google Scholar
#172: H. Aliakbarpour, K. Palaniappan, and J. Dias

Geometric exploration of virtual planes in a fusion-based 3D registration framework

Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8747, pgs. 87470C, 2013

3d reconstruction, wami, registration, fusion, fmv, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#149: K. Roudposhti, L. Santos, H. Aliakbarpour, and J. Dias

Parameterizing interpersonal behaviour with Laban movement analysis ; A Bayesian approach

In Proc. of Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, pgs. 7-13, 2012

behavioural sciences, belief networks, image motion analysis, social sciences, bayesian approach, lma parameters, laban movement analysis, body movement analysis, group dynamic behavior analysis, human body part motions, human interactive behaviour paramet

Bibtex, PlainText, DOI, Google Scholar
#124: J. Quintas, K. K. Roudposhti, H. Aliakbarpour, M. Hofmann, and J. Dias

Using Concurrent Hidden Markov Models to Aanalyze Human Behaviours in a Smart Home Environment

Proceeding of International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2011), University of Delft, Netherlands., 2011

Bibtex, PlainText, Google Scholar
#132: K. Khoshhal, H. Aliakbarpour, K. Mekhnacha, J. Ros, J. Quintas, and J. Dias

LMA-based Human Behaviour Analysis Using HMM

DoCEIS 2011,Technological Innovation for Sustainability, IFIP, Springer, Volume 349, 2011

Bibtex, PlainText, Google Scholar
#135: M. Hofmann, M. Kaiser, H. Aliakbarpour, and G. Rigoll

Fusion of Multi-Modal Sensors in a Voxel Occupancy Grid for Tracking and Behaviour Analysis

International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2011), University of Delft, Netherlands., 2011

Bibtex, PlainText, Google Scholar
#133: H. Aliakbarpour, K. Khoshhal, J. Quintas, K. Mekhnacha, J. Ros, M. Andersson, and J. Dias

HMM-based Abnormal Behaviour Detection Using Heterogeneous Sensor Network

DoCEIS 2011, AICT (Technological Innovation for Sustainability), Springer, Volume 349, pgs. 277--285, 2011

Bibtex, PlainText, Google Scholar
#131: H. Aliakbarpour, P. Freitas, J. Quintas, C. Tsiourti, and J. Dias

Mobile Robot Cooperation with Infrastructure For Surveillance: Towards Cloud Robotics

Workshop on Recognition and Action for Scene Understanding (REACTS) in the 14th International Conference of Computer Analysis of Images and Patterns (CAIP) , September 2011, Spain., 2011

Bibtex, PlainText, Google Scholar
#130: H. Aliakbarpour and J. Dias

Multi-resolution Virtual Plane based 3D Reconstruction using Inertial-Visual Data Fusion

Int. Conf. Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2011

Bibtex, PlainText, Google Scholar
#122: H. Aliakbarpour and J. Dias

Volumetric 3D reconstruction without planar ground assumption

5th ACM/IEEE Int. Conf. Distributed Smart Cameras, 2011

Bibtex, PlainText, URL, DOI, Google Scholar
#129: H. Aliakbarpour, L. Almeida, P. Menezes, and J. Dias

Multi-sensor 3D Volumetric Reconstruction Using CUDA

Journal of 3D Research, Volume 2, pgs. 1--14, 2011

Bibtex, PlainText, URL, Google Scholar
#108: K. Khoshhal, H. Aliakbarpour, J. Quintas, P. Drews, and J. Dias

Probabilistic LMA-based Classification of Human Behaviour Understanding Using Power Spectrum Technique

13th International Conference on Information Fusion2010, 2010

Bibtex, PlainText, Google Scholar
#118: H. Aliakbarpour, J. F. Ferreira, K. Khoshhal, and J. Dias

A Novel Framework for Data Registration and Data Fusion in Presence of Multi-modal Sensors

Proc. DoCEIS2010, IFIP AICT (Emerging Trends in Technological Innovation), Volume 314, pgs. 308--315, 2010

Bibtex, PlainText, Google Scholar
#113: H. Aliakbarpour and J. Dias

Human Silhouette Volume Reconstruction Using a Gravity-based Virtual Camera Network

13th Int. Conf. Information Fusion, Edinburgh, UK, 2010

Bibtex, PlainText, Google Scholar
#112: H. Aliakbarpour and J. Dias

IMU-aided 3D Reconstruction based on Multiple Virtual Planes

Int. Conf. Digital Image Computing: Techniques and Applications (DICTA), pgs. 474--479, 2010

Bibtex, PlainText, Google Scholar
#95: R. G. d. P. Menendez, J. M. M. Dias, J. A. S. Prado, H. Aliakbarpour, and S. G. Andino

Multiclass Brain Computer Interface Based on Visual Attention

European Symposium on Artificial Neural Networks, Advances in Computational Intelligence and Learning, Bruges (Belgium),22 - 24 April 2009., 2009

Bibtex, PlainText, URL, Google Scholar
#98: D. R. Faria, H. Aliakbarpour, and J. Dias

Grasping Movements Recognition in 3D Space using a Bayesian Approach

14th International Conference on Advanced Robotics (ICAR 2009), 2009

Bibtex, PlainText, URL, Google Scholar
#104: H. Aliakbarpour, P. Nunez, J. Prado, K. Khoshhal, and J. Dias

An Efficient Algorithm for Extrinsic Calibration between a 3D Laser Range Finder and a Stereo Camera for Surveillance

14th International Conference on Advanced Robotics (ICAR 2009), 2009

Bibtex, PlainText, URL, Google Scholar
#57: M. H. Korayem, K. Khoshhal, and H. Aliakbarpour

Vision Based Robot Experiment: Measurement of path related characteristics

Proc. of INTERNATIONAL CONFERENCE on computational and information sciences, 2006

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#62: M. H. Korayem, F. Heidari, and H. Aliakbarpour

Industrial Robotics: Programming, Simulation and Applications

InTech, 2006

Bibtex, PlainText, ISBN 3-86611-286-6, DOI: 10.5772/4912., Google Scholar
#63: H. Aliakbarpour and H. Aliakbarpoor

Controlling an Industrial Robot by Single Camera Using Feature-based Approach

In Proc. of INTERNATIONAL CONFERENCE on computational and information sciences, 2006

Bibtex, PlainText, Google Scholar
#53: M. Korayem, K. Khoshhal, and H. Aliakbarpour

Vision Based Simulation and Experiment for Performance Tests of Robot

The International Journal of Advanced Manufacturing Technology, Volume 25, pgs. 1218-1231, 2005

performance tests, vision robot, simulation, experiment

Bibtex, PlainText, URL, DOI, Google Scholar
#50: M. H. Korayem, M. R. J. Motlagh, and H. Aliakbarpour

3P Robot Simulator and vision control

In Proc. of The second Iranian conference on Machine Vision Image Processing \& Applications, 2003

Bibtex, PlainText, Google Scholar