Detect eyeglasses in an image (openCV preferred)
$250-750 USD
Pagado a la entrega
I'm looking for a computer vision expert to help us with a project. We have a lot of needs for this project but we'll start with a simple task: determine whether a person is wearing glasses from a picture of them.
We're currently using Python and openCV and would prefer that method, but are open to other options.
Other things we'd like to determine if possible (but not essential for this job):
- skin color
- hair color
- general face shape
We're using the betaface API to determine the above but would like to handle the task locally since betaface can take a long time to process.
Nº del proyecto: #10617585
Sobre el proyecto
17 freelancers están ofertando un promedio de $581 por este trabajo
Hello I have great interest in this project. We are a good computer vision expert team. We can do anything in computer vision field. Thanks and regards.
I can do it using OpenCV and Python since you already have an environment setup that uses Python. Other option is OpenCV and C++
I have completed my masters from IIT Delhi. and I am expert in opencv and python so I will be able to complete your project on time.
I have experience using opencv with Python, o have done projects like face detection and recognition, face swapping and color tracking.
hi, I am a computer vision student and know well about image processing, i can offer you my quality of work. I have done work on Visual People detector and counter in which i used kinect and opencv libraries to accomp Más
I have worked with OpenCV to detect watermarks on images. In your case it is easy to detect glasses of a front view of the face. When the face image is rotated about the vertical axis, the accuracy reduces.
I am doing research internship at Nanyang Technological University (NTU) , Singapore in the field of Computer Vision , vehicle tracking and classification to be specific . I have many computer vision projects and have Más
I have worked with an OpenCV project, which uses SVM classifier to detect car plate. I think this technique can also be used in your proposed project.
I have a working demo of this application which i can show right away to the client I used harrcascade method of OpenCV