Here is a link of what I want to implement using opencv, the human detection part is the hardest to replicate. http://www.howtogeek.com/69929/how-to-lighten-the-shadows-that-ruin-great-photos/
1 | initial version |
Here is a link of what I want to implement using opencv, the human detection part is the hardest to replicate. http://www.howtogeek.com/69929/how-to-lighten-the-shadows-that-ruin-great-photos/
2 | No.2 Revision |
Here is a link of what I want to implement using opencv, the human detection part is the hardest to replicate. http://www.howtogeek.com/69929/how-to-lighten-the-shadows-that-ruin-great-photos/ Basically I want to detect the part of the face that is not illuminated well automatically which is done using manual interfacing and then apply histogram equalization to the image. So I am stuck in the face detection part, how to decide if for an image we have such areas of dim illumination and then detecting the areas.
3 | No.3 Revision |
Here is a link of what I want to implement using opencv, the human detection part is the hardest to replicate.
http://www.howtogeek.com/69929/how-to-lighten-the-shadows-that-ruin-great-photos/
Basically I want to detect the part of the face that is not illuminated well automatically which is done using manual interfacing and then apply histogram equalization to the image. So I am stuck in the face detection part, how to decide if for an image we have such areas of dim illumination and then detecting the areas.areas.
For eg. the image in the above link or http://www.adorama.com/alc/alc_images/article12470_0.jpg