Hi I am trying to write a simple skin detection program in PD. Before I start I was wondering if someone already had a patch out there that did this and if not some pointers of where to start and how to approach this. Thanks
What is skin detection?
Are you trying to sense electrically or visually?
What is not skin?
I would be very careful with your conception of skin if your going visual sensing, as it would be very difficult to make a skin detector that does not privilege certain skin tones.
.b.
On 10-06-16 05:54 AM, Sean Harrigan wrote:
Hi I am trying to write a simple skin detection program in PD. Before I start I was wondering if someone already had a patch out there that did this and if not some pointers of where to start and how to approach this.
Thanks
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I would be very careful with your conception of skin if your going visual sensing, as it would be very difficult to make a skin detector that does not privilege certain skin tones.
On Thu, 17 Jun 2010, João Pais wrote:
I would be very careful with your conception of skin if your going visual sensing, as it would be very difficult to make a skin detector that does not privilege certain skin tones.
Typically, face recognition involves using statistics about what a face looks like, so if the programme ships with a precomputed neural network and no tool to help add custom faces, chances are that it will miss a lot of people. I haven't tried such tools but I could guess that it would also miss people with unusually large beards and large mustaches,
http://esoterisme-exp.com/Section_main/Collection4/612-esoexp30.jpg http://blogue.branchez-vous.com/archives/doc-mailloux.jpg
A large mustache can cut a face in two, especially with certain angles and lightings. A large beard changes a face so much, that while googling for the latter guy, the first text I saw was someone wondering "what his face looks like" (without beard). A photoshop speculation :
http://blogue.branchez-vous.com/upload/2007/04/doc_mailloux.jpg
But algorithms can't come up with that kind of picture, and even from a human, there's always a possibility that the chin is wrong, if there's not enough of a hint of it on the picture.
Finally, black faces have much lower contrast, especially if the camera has a narrow range of intensity and is auto-adjusting to the average brightness of the scene. On top of that, any shininess of the skin can make reflections that can confuse the algorithm a lot.
_ _ __ ___ _____ ________ _____________ _____________________ ... | Mathieu Bouchard, Montréal, Québec. téléphone: +1.514.383.3801
Mathieu Bouchard wrote:
On Thu, 17 Jun 2010, João Pais wrote:
I would be very careful with your conception of skin if your going visual sensing, as it would be very difficult to make a skin detector that does not privilege certain skin tones.
Typically, face recognition involves using statistics about what a face looks like, so if the programme ships with a precomputed neural network and no tool to help add custom faces, chances are that it will miss a lot of people. I haven't tried such tools but I could guess that it would also miss people with unusually large beards and large mustaches,
http://esoterisme-exp.com/Section_main/Collection4/612-esoexp30.jpg http://blogue.branchez-vous.com/archives/doc-mailloux.jpg
A large mustache can cut a face in two, especially with certain angles and lightings. A large beard changes a face so much, that while googling for the latter guy, the first text I saw was someone wondering "what his face looks like" (without beard). A photoshop speculation :
http://blogue.branchez-vous.com/upload/2007/04/doc_mailloux.jpg
But algorithms can't come up with that kind of picture, and even from a human, there's always a possibility that the chin is wrong, if there's not enough of a hint of it on the picture.
Finally, black faces have much lower contrast, especially if the camera has a narrow range of intensity and is auto-adjusting to the average brightness of the scene. On top of that, any shininess of the skin can make reflections that can confuse the algorithm a lot.
_ _ __ ___ _____ ________ _____________ _____________________ ... | Mathieu Bouchard, Montréal, Québec. téléphone: +1.514.383.3801
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face recognition is not based on colour in any sense, it is based on number and orientation of segments of the contours, at least in haar's algorithm ...
On Thu, 17 Jun 2010, ydegoyon@gmail.com wrote:
face recognition is not based on colour in any sense, it is based on number and orientation of segments of the contours, at least in haar's algorithm ...
Those lines are expressed using pixels and each of those pixels have a colour.
A segment detector could detect lines all over a picture, but it needs to be thresholded to lines significant enough. Lines that are too subtle have to be left out. In dark faces, or à contre-jour, how does Haar's algorithm figure out that lines inside of the face are more significant than those outside ?
_ _ __ ___ _____ ________ _____________ _____________________ ... | Mathieu Bouchard, Montréal, Québec. téléphone: +1.514.383.3801
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