I want to search for similarities in one image using OpenSURF implementation. would you please help me how I can group identical SURF features (matching them) and display the resulting imge with matched regions? Please give me any suggestions
There is an issue regarding the sampling with this approach. Since the code simply samples the closest value the result is heavily undersampled in some regions (r>>), while it is oversampled in others (r<<).
It would be interesting to have a correct approach that satisfies signal processing criteria (e.g. smooth oversampled regions and grey values where undersampled black and white values come together.
