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Stabilization of infrared image sequence with rotation, scaling and view-angle changes

Daniel McReynolds, Yunlong Sheng, Langis Gagnon, Leandre Sevigny, George A. Lampropoulos, Roger A. Lessard
1998 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications  
An enhanced greylevel differential invariant matching scheme is applied to the stabilization of real-world, infrared image sequences that have large translation, rotation, scaling and viewpoint changes  ...  Its performance is compared with that of Zhang's robust image matching method.  ...  CONCLUSION We have shown two point-based methods for image matching and applied them to the stabilization of an infrared image sequence.  ... 
doi:10.1117/12.328669 fatcat:4dggbja26zdhrfewlatwn2yqru

Automatic Stabilization of Infrared Images Using Frequency Domain Methods [chapter]

Ramiro Martinez, Anibal Ollero
2012 Automation  
The work is motivated by the lack of local features and high noise levels commonly present in infrared images, which hampers stabilization methods based on feature matching.  ...  . 3 Two infrared images from a sequence of images under vibrations.  ... 
doi:10.5772/48054 fatcat:4cbifbleurfr3hekwfefbl5dmu

Automatic and Robust Infrared-Visible Image Sequence Registration via Spatio-Temporal Association

Bingqing Zhao, Tingfa Xu, Yiwen Chen, Tianhao Li, Xueyuan Sun
2019 Sensors  
registering planar infrared-visible image sequences through spatio-temporal association.  ...  To solve the problems of the large differences in gray value and inaccurate positioning of feature information during infrared-visible image registration, we propose an automatic and robust algorithm for  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19050997 fatcat:lz4wlaogdjaj3jqwytpdhysmwe

RIFT: Multi-modal Image Matching Based on Radiation-invariant Feature Transform [article]

Jiayuan Li, Qingwu Hu, Mingyao Ai
2018 arXiv   pre-print
Third, RIFT analyzes the inherent influence of rotations on the values of MIM, and realizes rotation invariance.  ...  To the best of our knowledge, RIFT is the first feature matching algorithm that can achieve good performance on all the above-mentioned types of multi-model images.  ...  In fact, many applications require automatic matching of multi-modal images, such as information fusion of optical and SAR images.  ... 
arXiv:1804.09493v1 fatcat:ugctdpowsbgnboidl5mphz4sl4

A method to compensate head movements for mobile eye tracker using invisible markers [article]

Osawa, Rie; The University Of Tokyo, Shirayama, Susumu; The University Of Tokyo, Tokyo, The University Of
2018 Journal of Eye Movement Research  
The head movements are compensated by performing template matching on the images of view camera to detect the actual eye position on the screen.  ...  Although mobile eye-trackers have wide measurement range of gaze, and high flexibility, it is difficult to judge what a subject is actually looking at based only on obtained coordinates, due to the influence  ...  Table 1 1 shows the result of the similarity calculation using the Hu invariant moment.The template images are on the top of the table and the searched images are on the side of the table; lower matching  ... 
doi:10.16910/jemr.11.1.2 pmid:33828679 pmcid:PMC7198235 fatcat:2ckm5g65fnch3hruwhl5oj4q5u

Performance Evaluation of Feature Detectors and Descriptors Beyond the Visible

Tarek Mouats, Nabil Aouf, David Nam, Stephen Vidas
2018 Journal of Intelligent and Robotic Systems  
This study would serve to filling the gap in the literature as most analyzes have been based on visible band imagery.  ...  Infrared cameras, which noticed a considerable proliferation in recent years, offer a viable alternative in such conditions.  ...  It is based on the number of correct matches and false matches between features detected in an image pair.  ... 
doi:10.1007/s10846-017-0762-8 fatcat:ayqxorb5pfaivhkemq4yfx44xm

3MRS: An Effective Coarse-to-Fine Matching Method for Multimodal Remote Sensing Imagery

Zhongli Fan, Yuxian Liu, Yuxuan Liu, Li Zhang, Junjun Zhang, Yushan Sun, Haibin Ai
2022 Remote Sensing  
In the stage of fine matching, we develop a novel template matching method based on the log-Gabor convolution image sequence and match the template features with a 3D phase correlation matching strategy  ...  On average, the number of correct matches (NCM) of 3MRS was 164.47, 123.91, 4.88, and 4.33 times that of SIFT, PSO-SIFT, HAPCG, and RIFT for the successfully matched image pairs of each method.  ...  Acknowledgments: We would like to thank Yongxiang Yao at Wuhan University for making the CoFSM datasets available on, accessed on 17 January 2022.  ... 
doi:10.3390/rs14030478 fatcat:hpati4w775dvhjp4jzsomemmva

Local Feature Extraction in the Near Infra-Red Domain for Wildlife Mammals Tracking Purpose

Tibor Trnovszký, Róbert Hudec
2016 Civil and Environmental Engineering  
The modified algorithm based on background subtraction and creation of 3D model by depth map is proposed. Finally, the results of developed algorithm are depicted through the last part of this paper.  ...  Nowadays, research in area of intelligent transportation system is focused on analysis of traffic flow by computer vision techniques.  ...  6752 -DETECTGAME: R&D for Integrated Artificial System for Detecting the Wildlife Migration and project "Centre of excellence for systems and services of intelligent transport ", ITMS: 26220120028, co-funded  ... 
doi:10.1515/cee-2016-0005 fatcat:wajha3o4ojc65cfvz7frtuewhu

Advances in Target Detection and Tracking in Forward-Looking InfraRed (FLIR) Imagery

Andrea Sanna, Fabrizio Lamberti
2014 Sensors  
We start with an introduction to the role of infrared images in today's vision-based applications, by outlining the specific challenges that characterize detection and tracking in FLIR images.  ...  Here we give context to the Special Issue on "Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery" in Sensors.  ...  We are indebted to all the staff of MDPI for their great support in managing the reviewing and organizing of this Special Issue. Conflicts of Interest The authors declare no conflict of interest.  ... 
doi:10.3390/s141120297 pmid:25353980 pmcid:PMC4279483 fatcat:t5r6gp6hxraolk5nkq55bz5eve

Development of Indian Coin based automatic shoe Polishing Machine using Raspberry pi with Open CV

D.Srihari, B.Ravi Kumar, K.Yuvaraj
2012 International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering  
Aimed at challenging the drawbacks of conventional shoe polishing machine operations, a new automatic shoe polishing machine system is designed for performing polishing work instead of manual legs oscillation  ...  In this system proposed to design an automatic shoe polishing machine with portable coin box using Raspberry pi with open source computer vision library (openCV) as this image processing library tool has  ...  image on SIFT feature points matched between reference coin image and live coin image and test image with an angular difference of rotated left 90 and rotated right 900 between them.  ... 
doi:10.15662/ijareeie.2012.0103015 fatcat:eatqtcndl5gbhbyrlf3ivtucya

Recent advances in visual and infrared face recognition—a review

Seong G. Kong, Jingu Heo, Besma R. Abidi, Joonki Paik, Mongi A. Abidi
2005 Computer Vision and Image Understanding  
This paper provides an up-to-date review of research efforts in face recognition techniques based on two-dimensional (2D) images in the visual and infrared (IR) spectra.  ...  Face recognition systems based on visual images have reached a significant level of maturity with some practical success.  ...  Acknowledgment This research was supported by the Office of Naval Research under Grant No. N000143010022.  ... 
doi:10.1016/j.cviu.2004.04.001 fatcat:iewjuc34kzhytnytaxgknj6s5a

Automatic Matching Of Aerial Images With Map Data Using Dynamic Programming

Sevket Gumustekin, Metin Kahraman
2006 Zenodo  
Publication in the conference proceedings of EUSIPCO, Florence, Italy, 2006  ...  Automatic coastline extraction and matching methods are tested on a vector map of the Aegean coast of Turkey.  ...  An aerial image captured by an infrared (IR) sensor array mounted on a high altitude satellite on a clear day could be considered as a best case scenario.  ... 
doi:10.5281/zenodo.52683 fatcat:azixmh3emjephjdsmfxa2elybu

Automatic Marker-free Longitudinal Infrared Image Registration by Shape Context Based Matching and Competitive Winner-guided Optimal Corresponding

Chia-Yen Lee, Hao-Jen Wang, Jhih-Hao Lai, Yeun-Chung Chang, Chiun-Sheng Huang
2017 Scientific Reports  
However, it is hard to keep markers attached on a body surface for weeks, and rather difficult to detect anatomic fiducial markers and match them in the infrared image during registration process.  ...  Long-term comparisons of infrared image can facilitate the assessment of breast cancer tissue growth and early tumor detection, in which longitudinal infrared image registration is a necessary step.  ...  Acknowledgements Research supported by Ministry of Science and Technology of Taiwan under MOST Grants: NSC 102-2218-E-239-004-MY2.  ... 
doi:10.1038/srep39834 pmid:28145474 pmcid:PMC5286440 fatcat:y3timo6skfdxpnppq3mrd4cf3e

Multisensor image registration and optical correlation

Yunlong Sheng, Xiangjie Yang, Daniel McReynolds, Pierre Valin, Leandre Sevigny
1999 1999 Euro-American Workshop Optoelectronic Information Processing: A Critical Review  
We present several approaches for visible and infrared video image sequence registration, useful for image fusion, target detection and recognition.  ...  Abstract We present several approaches for visible and infrared video image sequence registration, useful for image fusion, target detection and recognition.  ...  The invariance to image rotation, scale and view angle changes is an important issue for feature matching.  ... 
doi:10.1117/12.365906 fatcat:z562jhtepjernot3h7goythjsm

Improved scale-invariant feature transform feature-matching technique-based object tracking in video sequences via a neural network and Kinect sensor

Kajal Sharma, Inkyu Moon
2013 Journal of Electronic Imaging (JEI)  
We propose a method that improves the performance of scale-invariant feature transform (SIFT)-based object tracking algorithm to track the object in the subsequent video frames.  ...  An efficient and improved SIFT feature matching-based tracking method via neural network is provided and compares the outcome of this method with other tracking method outcomes.  ...  Schmid and Mohr 27 used Harris corners to show invariant local feature matching although they used a rotationally invariant descriptor of the local image regions and allowed features to be matched under  ... 
doi:10.1117/1.jei.22.3.033017 fatcat:slyusrkgc5gapfmjjp6leqkbbu
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