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Computer Vision Jobs

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Fixed-Price - Expert ($$$) - Est. Budget: $3,500 - Posted
We are looking to have a computer vision expert create a very specific .NET/Mono compatible library for us to use in an application we are creating. This will include (either entirely from scratch or using the help of open source, commercial friendly libraries): - Implementing a very performant rotation/scale invariant template matching routine, and training routine for it. - Implementing geometry detection (size, location, rotation) of circles and rectangles. - Implementing camera calibration routines to calibrate cameras based on known grids or shapes, and applying that calibration to the other routines. - Various other routines as you determine necessary to meet the requirements outlined in the attached document. If these tasks are things you feel you can excel at then please see the attached document which outlines the deliverables for this project, as well as the acceptable languages and required platforms. Please DO NOT bid on this project if you have not read the attached document. Please have a portfolio or references to show your experience with customized computer vision routines and algorithms. You will have direct and prompt answers to any questions from the developer of both the application that will use this library and the machine that it is being used for. An extremely detailed document of use cases for each routine can also be provided once hired. Unlimited sample images can be provided to order from the machine this will be used with. We would like to find someone who can pursue this aggressively, with an ideal deadline of 30 days, but more would be considered for the right candidate. PLEASE NOTE: Bids above and below the budget given will still be seriously considered based on experience, ability to dedicate a large amount of time, communication skills, etc.
Skills: Computer vision .NET Framework Algorithm Development C#
Fixed-Price - Intermediate ($$) - Est. Budget: $1,000 - Posted
Summary: This document describes the specifications for a proposed solution for using computer vision to perform some automated image processing. Description: Digitized 35mm film reels document historical photographs, these were obtained using a batch scanning process. The historical photographs were placed on a background that was identical throughout the process, and contained markers to indicate the physical dimensions of the photograph. There are two types of images that are contained in the collection: the front of the photograph that was shot on film that has perforated edges (figure 1), and the back of the photograph that was shot on a higher contrast film without the perforated edges (figure 2). please note: for the purposes of this document, the word "photograph" describes the historical photograph depicted in the images. The word "image" describes the digital reproduction (the surrogate). Objective: Develop a script using computer vision to remove the background from a set of images. The background is identical on all of the images, but the photograph placed on top of the background will vary in size, and location. The contrast of the background and image will also vary from image to image. The script is to perform two functions: Digitally remove the background from the group of images in a fully automatic way, cropping and straightening the image so that no border is left. Using markers from the background, be able to calculate the physical dimensions of the photograph. Requirements: The resulting image must be perfectly cropped. The script must be able to process images in the TIFF file format. A sample reel of images will be provided to serve as a test case for the developer. Once the script has been developed it will be provided to the customer with full instructions of how to run it on local hardware with the remaining set of images. OpenCV libraries should be able to take care of this task. Please include a brief description of how you propose to implement this. Please see the attached document for image samples and additional requirements.
Skills: Computer vision Image Processing OpenCV Photo Manipulation
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