Computer vision Job Cost Overview
Typical total cost of oDesk Computer vision projects based on completed and fixed-price jobs.
oDesk Computer vision Jobs Completed Quarterly
On average, 15 Computer vision projects are completed every quarter on oDesk.
Time to Complete oDesk Computer vision Jobs
Time needed to complete a Computer vision project on oDesk.
Average Computer vision Freelancer Feedback Score
Computer vision oDesk freelancers typically receive a client rating of 4.47.
Native English speaking Computer Vision engineer with several years of specialization in both computer vision and image processing. C++, Python, and OpenCV are my primary languages. I am the lead computer vision engineer at my current position, and I focus on only one freelance project at a time to ensure my customer's needs are met. My background also includes image systems engineering, so beyond programming, my expertise ranges from radiation propagation and radiometric light modeling, to camera sensors, to image processing.
I've graduated at Vigo Unversity specialized in signal processing and I finished my master degree (computer vision and artificial intelligence) at Universita de Autonoma de Barcelona. I have 7 years of experience in computer vision applied to industrial software such as: face recognition, pedestrian tracking, video surveillance and image retrieval.
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
Experienced embedded system developer applying highly level algorithms like image processing (object tracking and identification ..etc) , Artificial intelligence ( supervised , unsupervised learning , path planning and decision making..etc ) and advanced probabilistic techniques to deal with hard sensor reading and estimation of values and status beside exceptional skills in computer interfacing and providing desktop software that interacts with embedded hardware directly with very large freelancing experience for more than 5 years in different fields of embedded systems and high technology embedded systems, Also Experienced .NET desktop, WPF, ASP.NET, web portals , and large scale websites beside integration and design level of systems that mix embedded systems with web portals or desktop, with great ability to plan and architect any system to any extend .
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.
* Strong background in Mathematics. * +5 years experience in Computer Vision, Image Processing, Pattern Recognition, and Machine Learning algorithms/applications. * Matlab +8 years, efficient vectorization coding style. Intensively use Image Processing and Computer Vision System toolboxes. Great knowledge of Neural Network and Control System toolboxes, Simulink, GUI. * C++/ Visual C++ with OpenCV (+2 years), object oriented programming. Strong knowledge in Data Structure and Algorithms. * +3 years C (high and low level), Assembly, Basic Stamp for micro-controller (e.g. PIC, 89Cxx). Knowledge of CAN networks. Labview (basic).
I have been developing various computer vision applications to solve real world problems. I have worked with facial recognition, feature segmentation, gesture detection, OCR, computer vision based photography and many other aspects. I have proficient knowledge of Python, C++ and Android. I have been using OpenCV for over 3 years now. I have great experience with OpenCV in Python, C++ and Java/Android. I have also worked with Android NDK (with OpenCV) to boost performance. I have been developing SimpleCV (http://simplecv.org/) for past 3 years. Here's my blog and website: http://jayrambhia.com/
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 PhD student working in Computer Vision / Image Processing areas. I have master's degree in Computre Vision and bachelor's degree in Electrical and Electronics Engineering. I have previously worked on several IPCV projects in the areas of Automated driver assistance systems, object recognition, 3D Reconstruction, path planning using images etc.