Face detection module

[Example of how it should work][1] I will call the project "**TB-O**bjectDetection" Because it should use reference pattern, I will not call it Facedetection. I will send a picture to the TBO class. Then I get a list of objects, found on this picture. The list is depending on available pattern - reference datas. In every entry of this list, I can submit a new request to the TBO to let me know what details are available about this object. **Example, how it could work in sequence **example for faces: I submit an picture with 3 persons on it to TBO. TBO returns me a list of 3 objects. 1 object: Face 2 object: Face 3 object: Face Now I submit a request of object 1 to the class again and will receive: polygon of face, mouth, eyes, quality of comparing, ... In first step, the whole image will be submitted. The image will be analyzed for objects using pattern references. If I would like to have details about the object, I have to submit the whole image again and submit the object type too. Then TBO will do a detailed and more time intensive analyze. Perhaps the last image object details are already calculated in step 1. Then it should be no problem to cache them if the 2. step is doing. But perhaps in step 2 there are some data instread of a rectangle of the face with the polygon outline of the face. **Some infos **Face detection: <[login to view URL]> Object detection: <[login to view URL]> Dificult detection: [[login to view URL]][2] See the attachment. It is an prototype base I have done. Perhaps you can complete it by adding your Object detection class.