Reference no: EM13314026
Task 1
Photograph several high contrast scenes, with a series of at least three images for each scene, taken 1 or 2 "exposure values" apart. Resize them to approximately 1 megapixel. You can use either a digital camera with manual controls or one of several camera apps for iOS or Android that allow manual exposure settings.
You should then align the images to ensure the correct appearance of the combined HDR photograph. A simple way to perform the alignment is by searching through all possible offsets in some suitable range (e.g. 20 pixels for low resolution images) and computing for each a score measuring the quality of the match. Three suitable metrics include sum of squared differences (SSD), sum of absolute differences (SAD) and the normalised cross correlation (NCC), all of which are implemented in OpenCV.
For this assignment it is sufficient to use an x, y translation transform but feel free to implement other methods.
Task 2
Having obtained an estimate of "true" intensities, the resulting HDR image needs to be converted to the standard 24 bit format for display. Experiment with linear, square root and log functions for the conversion and choose the option that produces ithe most attractive results on your images. Make sure that the entire dynamic range is used (i.e. at least one of the colour channels should have some intensities close to zero and at least one channel should have intensities close to 255).
Optional task: Try to improve the visual quality of the results of the basic algorithm, e.g. through the use of local tone mapping. Other options include automatic parameter tuning or creation of a time-lapse HDR video.
Evaluation: Several multi exposure image sequences (of three images) will be released on the day the assignment is marked. You will take your marker through the steps showing the output of image alignment procedure, a representation of the high dynamic range image and the final output as well as the results you have obtained on your own data.
This assignment is worth 10% of the course total. Tasks 1, 2 iand 3 are sufficient to complete the assignment and will be marked against the maximum mark achievable. The optional task, if completed, will attract a bonus mark.
Attachment:- Assignment-1---Computer-Vision.doc