56657 پروژه سی پلاس پلاس

---

شرح پروژه

سلام روزتون به خير من میخواستم یه پروژه واسم انجام بدین 

پروژه c++ واسه درس بینایی ماشین

واسه هفته دیگه میخوام

میتونین اینو انجام بدین؟ و هزینه اش چقدر میشه

Topics: Keypoints, Descriptors and Matching Goal: Fix the corrupted regions in the provided image using data from patches.   Write a C++ software which includes methods that:  1. Load the corrupted image and the patches from one of the provided datasets. a) Different sets have different level of complexity, no need to solve all of them. b) The “_t” patches have been subject to some transformations that make the problem more challenging. 2. Extract SIFT features from the image (SIFT features requires OpenCV≥4.4) 3. Extract SIFT features from the patches (SIFT features requires OpenCV≥4.4) 4. For each patch a. Compute the match between the image and patch features extracted in (2). For this, OpenCV offers you the cv::BFMatcher class. Remember to use L2 distance for SIFT (the Hamming distance is good for ORB). b. Refine the matches found above by selecting the matches with distance less than ratio * min_distance, where ratio is a user-defined threshold and min_distance is the minimum distance found among the matches.  5. You can assume the images and patches are linked together by an affine transform, using the refined matches, find the transformation between the images. To this end, you can use the RANSAC algorithm. The set of inliers can be computed by using the findHomography() function, with CV_RANSAC as the third parameter (hint: the inliers can be retrieved by using the mask argument).  6. Using the found homographies overlay the patches over the image in order to fix the corrupted regions. 7. This is the baseline assignment, see the second page for additional suggestions for extra features allowing to improve your mark.

این پروژه شامل 1 فایل مهم است، لطفا قبل از ارسال پیشنهاد حتما نسبت به بررسی این فایل اقدام فرمایید.

مهارت ها و تخصص های مورد نیاز

---

---