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Computer Vision Jobs

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Hourly - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Looking for a scientific programmer with solid background in image processing. Must be fluent in MATLAB, OpenCV + C++, or OpenCV + Python, and comfortable implementing mathematical algorithms. Experience in image registration and feature-based classification is a big plus. This is a part-time (15-25 hours/week) position for at least one month, but it may turn into an ongoing engagement for the right candidate. Smart Systems Consulting in Boston, USA, has a contract with a life sciences company that is developing a revolutionary image-analysis platform. Your role will be to implement image enhancement and analysis algorithms, and build data-handling software utilities to support a small team of physicists and computer vision experts.
Hourly - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
I'm looking to have an exact replica of http://people.csail.mit.edu/cchoi/research_rgbdtracking.html Utilizing the assets they used (provided on that page) Not in real time, and with no focus on speed performance or efficiency. Just functionality, within at least 90% of the same accuracy that the paper describes. People who have worked with machine vision and algorithmics only please. Spam applications will be reported and marked as spam.
Hourly - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
We need a machine vision developer - specifically an OpenCV guru with some background in deep-learning toolkits - on an ongoing basis for various projects. - Open CV and/or other machine vision toolkits - GPU programming CUDA and/or OpenCL - C++ wizard , (Java or Python nice-to-have) - Video understanding, semantic segmentation, Action recognition, SLAM, and efficient flow/stereo methods - ANNs, DBN, CNNs, RBMs, “deep-learning” with frameworks such as Caffe highly desirable - Knowledge of machine-vision approaches highly desirable Experience designing and implementing real-world, high-performance machine learning systems. With your application please submit a brief summary of the hardest problem you worked in your career and why you consider it your crowning glory achievement. Note: This post is NOT for the amateur who has done a term project with machine vision, we are looking for the most skilled resources, **Spam applications will be deleted immediately. Don't even...
Hourly - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
The scope of this project is to develop an image processing system for a pipe welding robot. The robot control system will rely on feedback from the image processing algorithms to determine the location of the welding electrode in relation to the weld seam edges to correct positional errors. It is anticipated that to achieve these objectives the following general steps will be required: 1) Establish a coordinate system 2) Calibrate the image 3) Window the image (for weld pool and weld seam edges) 4) Remove interlacing artefacts 5) Apply a median filter 6) Apply a sharpening filter 7) Identify edges using a modified Canny operator 8) Remove false edges 9) Scan for edges 10) Fit functions to the edges 11) Determine the positional error 12) Interface to the control system Refer attached illustrations for further information.
Hourly - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
In order to ensure you have read through this job listing, please include the word “yellow” as the first word in your reply. OVERVIEW: Hey there. I’m a programmer and computer vision researcher who is putting together a set of deep learning and convolutional neural network tutorials to help other coders more easily learn and apply deep learning. I am covering much of the “code example” tutorials, but I really need some help writing out the more technical content and explanations. I am looking to have 5-7 tutorials written covering the following topics: 1. An introduction to deep learning 2. A tutorial on Deep Belief Networks 3. A tutorial on Convolutional Neural Networks 4. A tutorial on what each layer of a CNN is used for, how to utilize each layer, and when each layer should be utilized. 5. A tutorial demonstrating how to train a model using Caffe. 6. A sort of “What’s next?” tutorial where you can point out resources or recommendations moving forward. ARTICLE LENGTH...
Hourly - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
We are looking for a Computer Vision expert to work with our team to advance ongoing work registering multi-modal sensors to a common real-world coordinate system. This project will leverage registration work already done to co-locate three sensors and bring in a fourth. The application is physical security. We anticipate the initial time commitment to be approximately 80 hours at a full or half-time rate. We plan to be flexible and this project could extend into additional work.