[MASOCH-L] Análise de imagens

[Itamar - IspBrasil]

tem um outro trem que `e muito doido.

chama-se realidade aumentada


procura no youtube videos sobre isso.


agerhard at usp.br wrote:
> Pessoal,
>
> Aparentemente alguns algoritmos detectam a pele e areas da figura
> que lembram pedacos do corpo humano. Depois se aplicam metodos
> matematicos para classificar a imagem em pornografica e nao
> pornografica (com a possibildade de haver falsos positivos/negativos,
> como numa analise bayesiana de spam - mas com certeza diminuindo a
> quantidade de imagens que precisam ser analisadas manualmente).
>
>
> Finding Naked People:
> http://www.cs.hmc.edu/~fleck/naked.html
>
>
> Region-based Pornographic Image Detection
>
> Abstract
> Recent advantages in digital images and networks have made 
> pornographic images more accessible than ever. Methods of detecting 
> pornographic images have been proposed in some existing work. However, 
> the skin detection modules adopted are all pixel-based and skin region 
> shape features are rarely properly used. This paper presents a 
> framework for pornographic image detection based on skin region 
> information. Different from traditional works, our approach extracts 
> color and texture features from arbitrary-shaped segmented regions. 
> Then Gaussian mixture models are built for skin and non-skin region 
> classification, and the skin map is produced based on the 
> classification result. Finally, eigenregion features are used to 
> describe the layout of skin regions on the whole image and 
> pornographic images are detected according to the skin modality
>
> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4013947
>
>
> Uma patente:
>
> Automated detection of pornographic images
> United States Patent 6751348
>
> Abstract:
> A method of detecting pornographic images, wherein a color reference 
> database is prepared in LAB color space defining a plurality of colors 
> representing relevant portions of a human body. A questionable image 
> is selected, and sampled pixels are compared with the color reference 
> database. Areas having a matching pixel are subjected to a texture 
> analysis to determine if the pixel is an isolated color or if other 
> comparable pixels surround it; a condition indicating possible skin. 
> If an area of possible skin is found, the questionable image is 
> classified as objectionable. A further embodiment includes preparation 
> of a questionable image reference shape database defining 
> objectionable shapes. An image with a detected area of possible skin 
> is compared with the shape database, and depending on the results of 
> the shape analysis, a predefined percentage of the images are 
> classified for manual review.
>
> http://www.freepatentsonline.com/6751348.html
>
>
> Andre Gerhard
> Universidade de Sao Paulo
>
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>
>