I work on challenging problems which in turns helps in developing a systems. These systems will be built by using new directions and delivering exceptional results with high impact. I provide solutions for image processing and computer vision tasks. I have published research papers (in CVPR, ICCV, ECCV and ITSC) and hold several patents. My expertise is in service modals like Consultancy, Image Processing System Development, Data Visualization and Vision Based System using languages like C, C++, java and Matlab . I even help to create a unique selling point by innovating new idea to work on requirement.
Pattern recognition Job Cost Overview
Typical total cost of oDesk Pattern recognition projects based on completed and fixed-price jobs.
oDesk Pattern recognition Jobs Completed Quarterly
On average, 4 Pattern recognition projects are completed every quarter on oDesk.
Time to Complete oDesk Pattern recognition Jobs
Time needed to complete a Pattern recognition project on oDesk.
Average Pattern recognition Freelancer Feedback Score
Pattern recognition oDesk freelancers typically receive a client rating of 4.84.
Have worked in garment Suit industry for more than 15 years and very good in making the patterns of all formal wears of Men, women and Kids. And one of the best in making the garments fit well for any ready to wear category. Will be able to supply e-patterns to the clientele, for making samples and bulk production.
Senior software engineer, team lead with more then 10 years experience in artificial intelligence and machine learnings. C#/C/C++/Scala/R/Octave CUDA/MATLAB/OpenCV/VS/SPSS Ph. D. Also I have team of companions, experts in machine learning and data science fields and we are ready to realize the most ambitious projects in reasonable terms for reasonable money.
I am expert in Signal & Image processing, Machine Learning, pattern recognition and Computer Vision. I have done MS in EE from USC Los Angeles, USA in 2004. I have done PhD in Hyperspectral image processing from University of Antwerpen, Belgium in 2013. I am also working on various freelancing websites since 2005. Following are some of my projects: Projects: C++/OpenCV: 1) Scanned Seismic Graph to Data Conversion. 2) Hyperspectral Image feature extraction. 3) Tracking moving targets using KLT (Best features to track finding) algorithm and triangualtion of best features for final tracking. 4) Face detection (haar cascade algorithm) and recognition (eigen faces algorithm). Projects: Matlab: 1) Detection and Tracking of Swimmers in dynamic pool environment. 2) Detection, tracking and measuring sizes, orientation etc. of bacteria/cell in microscopic videos. 3) Image Deformation measurement from x-rays videos of bones. 4) Image Analysis - Bead extraction from image background, beads are microscopic cells of different types. 5) Hand tracking game for rehabilitation of stroke patients. This game is used to measure and improve the motor skills of hands for the stroke patients. Journal and Conference Publication: • Mahmood Z., Awais, M. A.; Thoonen, G.; Peeters, S. & Scheunders, P., "Contextual subpixel mapping of hyperspectral images making use of a high resolution color image", IEEE J. Sel. Topics Appl. Earth Observations and Remote Sens., 2013, XX, XX • Akhter, M. A.; Mahmood Z., & Scheunders, P., " Hyperspectral image subpixel mapping using Getis index", accepted in WHISPERS2013 25-28 June, Gainesville, Florida, USA. • Mahmood Z., G. Thoonen and P. Scheunders,"Automatic threshold selection for morphological attribute profiles" presented in IGARSS2012 (22-27 July 2012), Munich Germany. • Mahmood Z., G. Thoonen, M. A. Akhter and P. Scheunders, "Subpixel mapping of hyperspectral data using high resolution color images" presented in WHISPERS2012 (4-7 June 2012), Shanghai, China. • Thoonen G., Mahmood Z., S. Peeters, and P. Scheunders, "Multisource classification of color and hyperspectral images using color attribute profiles and composite decision fusion", ", IEEE J. Sel. Topics Appl. Earth Observations and Remote Sens., , 2012, 5, 510 -521. • Mahmood Z., and P. Scheunders, "Enhanced visualization of hyperspectral images", IEEE Geoscience and Remote Sensing letters, vol. 8, no. 5, pp. 869-873, 2011. • Mahmood Z., G. Thoonen, V. De Witte, and P. Scheunders, "Multi-source image classification using color attribute profiles", 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, Portugal, pp. 1 - 4, 2011 • Mahmood Z., and P. Scheunders, "Enhanced visualization of hyperspectral images", Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, pp. 991 -994, July, 2010. • Usman Q. , Ahsan Q., Mahmood Z. and Javed, M.Y., “Fusion of neural network with POC for face recognition”, ICCIT 2007, An International Journal of Research an Innovation, 21-23 November, Gyeongju, South Korea, pp. 154-159.
Top level Augmented Reality/Computer Vision Engineer! I have experience in developing computer vision core algorithms and end-user AR applications for variety of platforms and purposes. I developed an array of tracking algorithms for CAD model based tracking, feature-based SLAM, 2D and 3D registration algorithms, and also took part in large AR software projects for the likes of Volkswagen, Novartis, Toshiba, as well as for smaller clients. Further, I developed one of the world-first AR apps for smart-watches, while working for Metaio GmbH. I am focused on quality and mutual success, communicative and goal oriented, delivering top quality products for my clients. Following is the brief summary of my skills and competences: *** Areas of competence *** Augmented Reality, Computer Vision, Image Processing, Software Development, Consultancy Services *** App/Software types *** Mobile Apps, Wearables' Apps, Desktop Software *** App purpose/functionality *** Industry & Maintenance, Marketing, Retail, Machinery Maintenance, Geo-localization, Social networking integration, Database integration, Server-integration/development *** Programming Languages *** Java, Objective C, C++, Matlab, Python *** Programming Libs and APIs *** Metaio, Vuforia, OpenCV, Point Cloud Library *** Platforms *** Android, iOS (iPad, iPhone), Windows, Linux, Microsoft Kinect, Wearables, Smart-Glasses (smartglasses), AR/VR Glass, Smart-Watches (smartwatches) *** 3D modeling and design tools *** Blender, GIMP, Inkscape
Computer Scientist with expertise in image processing, computer vision and machine learning. Fluent in MATLAB, C, C++ and Visual C++. I also work extensively on web application development and game development.