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- Deep_lambertian_networks abstract "Deep Lambertian Networks (DLN) is a combination of Deep belief network and Lambertian reflectance assumption which deals with the challenges posed by illumination variation in visual perception. Lambertian Reflectance model gives an illumination invariant representation which can be used for recognition. The Lambertian reflectance model is widely used formodeling illumination variations and is a good approximation for diffuse object surfaces. The DLN is a hybrid undirected-directed generative model that combines DBNs with the Lambertian reflectance model. In the DLN, the visible layer consists of image pixel intensities v ∈ RNv , where Nv is the number of pixels in the image. For every pixel i there are two latent variables namely the albedo and surface normal. GRBMs are used to model the albedo and surface normals.Combining Deep Belief Nets with the Lambertian reflectance assumption, the model can learn good priors over the albedo from 2D images. Illumination variations can be explained by changing only the lighting latent variable. By transferring learned knowledge from similar objects, albedo and surface normals estimation from a single image is also possible. Experiments demonstrate that this model is able to generalize as well as improve over standard baselines in one-shot face recognition.The model has been successfully applied in reconstruction of shadows facial images, given any set of lighting conditions. The model has also been tested on non-living objects. The method outperforms most other methods and is faster than them.".
- Deep_lambertian_networks wikiPageID "42358441".
- Deep_lambertian_networks wikiPageLength "1939".
- Deep_lambertian_networks wikiPageOutDegree "7".
- Deep_lambertian_networks wikiPageRevisionID "611122060".
- Deep_lambertian_networks wikiPageWikiLink Albedo.
- Deep_lambertian_networks wikiPageWikiLink Category:Artificial_neural_networks.
- Deep_lambertian_networks wikiPageWikiLink Deep_belief_network.
- Deep_lambertian_networks wikiPageWikiLink Face_recognition.
- Deep_lambertian_networks wikiPageWikiLink Facial_recognition_system.
- Deep_lambertian_networks wikiPageWikiLink Lambertian_reflectance.
- Deep_lambertian_networks wikiPageWikiLink Latent_variable.
- Deep_lambertian_networks wikiPageWikiLink Latent_variables.
- Deep_lambertian_networks wikiPageWikiLink Normal_(geometry).
- Deep_lambertian_networks wikiPageWikiLink Surface_normal.
- Deep_lambertian_networks hasPhotoCollection Deep_lambertian_networks.
- Deep_lambertian_networks wikiPageUsesTemplate Template:Algorithm-stub.
- Deep_lambertian_networks wikiPageUsesTemplate Template:Multiple_issues.
- Deep_lambertian_networks wikiPageUsesTemplate Template:Reflist.
- Deep_lambertian_networks subject Category:Artificial_neural_networks.
- Deep_lambertian_networks hypernym Combination.
- Deep_lambertian_networks type Drug.
- Deep_lambertian_networks comment "Deep Lambertian Networks (DLN) is a combination of Deep belief network and Lambertian reflectance assumption which deals with the challenges posed by illumination variation in visual perception. Lambertian Reflectance model gives an illumination invariant representation which can be used for recognition. The Lambertian reflectance model is widely used formodeling illumination variations and is a good approximation for diffuse object surfaces.".
- Deep_lambertian_networks label "Deep lambertian networks".
- Deep_lambertian_networks sameAs m.0105jnr2.
- Deep_lambertian_networks sameAs Q16954991.
- Deep_lambertian_networks sameAs Q16954991.
- Deep_lambertian_networks wasDerivedFrom Deep_lambertian_networks?oldid=611122060.
- Deep_lambertian_networks isPrimaryTopicOf Deep_lambertian_networks.