Kaktus
10.12.2017, 22:04
https://www.youtube.com/watch?time_continue=6&v=fu7bTemvEKk
Ähnliches ist auch mit Videos machbar. Ich finde das unheimlich und bedrohlich
Begleittext zu obigem Video (Verfahren erfunden in D):
Morphable Face: Automatic 3D Reconstruction and Manipulation from Single Data-Set Reference Face
https://yt3.ggpht.com/-dqdYKWiC358/AAAAAAAAAAI/AAAAAAAAAAA/_v9qw-un6Xg/s88-c-k-no-mo-rj-c0xffffff/photo.jpg (https://www.youtube.com/user/OzzybanOswald)OzzybanOswald (https://www.youtube.com/channel/UCnNy0GUXQ8DmqzHxF29zHxw)
Am 02.10.2009 veröffentlicht
ABONNIEREN [COLOR=var(--yt-formatted-string-deemphasize_-_color, var(--yt-formatted-string-deemphasize-color))]582
http://www.mpi-inf.mpg.de/~blanz/html... (https://www.youtube.com/redirect?redir_token=nnv0VYcqALRGspJDNeC1f0pI38B8M TUxMzAyODU3MEAxNTEyOTQyMTcw&event=video_description&v=fu7bTemvEKk&q=http%3A%2F%2Fwww.mpi-inf.mpg.de%2F%7Eblanz%2Fhtml%2Fdata%2Fmorphmod2.pd f)The Morphable Face Model captures the variations of 3D shape and texture that occur among human faces. It represents each face by a set of model coefficients, and generates new, natural-looking faces from any novel set of coefficients, which is useful in a wide range of applications in computer vision and computer graphics.The Morphable Face Model is derived from a data set of 3D face models by automatically establishing point-to-point correspondence between the examples, and transforming their shapes and textures into a vector space representation. New faces and expressions can be modeled by forming linear combinations of the prototypes.In this framework, it is easy to control complex facial attributes, such as gender, attractiveness, body weight, or facial expressions. Attributes are automatically learned from a set of faces rated by the user, and can then be applied to classify and manipulate new faces.Given a single photograph of a face, we can estimate its 3D shape, its orientation in space and the illumination conditions in the scene. Starting from a rough estimate of size, orientation and illumination, our algorithm optimizes these parameters along with the face's internal shape and surface colour to find the best match to the input image. The face model extracted from the image can be rotated and manipulated in 3D. Matching a morphable model automatically to a single sample image of a face produces a 3D shape and a texture map estimate. The texture estimate can be improved by additional texture extraction. The 3D model is rendered back into the image after changing facial attributes, such as gaining and loosing weight, frowning , or being forced to smile."Simon Shack" is a high-level infiltrator shill.http://www.ozzybinoswald.com (https://www.youtube.com/redirect?redir_token=nnv0VYcqALRGspJDNeC1f0pI38B8M TUxMzAyODU3MEAxNTEyOTQyMTcw&event=video_description&v=fu7bTemvEKk&q=http%3A%2F%2Fwww.ozzybinoswald.com)
Treffender Kommentar dazu:
Just wait until you see yourself on the 6 o'clock news, robbing the bank! It's so exciting to go to jail! You were the pilot of the computer graphics planes on 9/11, and now film at 6:00! Best weapon ever! Well, that is since tv was invented. It still is the best weapon ever! YOUR TV IS LYING TO YOU. EAT THE RICH. TASTES LIKE CHICKEN! 9/11 was a computer graphics job. The proof is in! Now what do you do? INVESTIGATE. ACT.
Mit solchen Fotos/Videos kann uns doch Alles vorgegaukelt werden. Erinnert mich irgendwie auch an den Film "Das Netz" mit Sandra Bullock aus dem Jahr 1995
Noch etwas mehr von dieser Arbeit:
https://www.youtube.com/watch?time_continue=9&v=XOxxPcy5Gr4
...und demnächst heisst es dann: Ich heirate meinen Roboter
https://www.youtube.com/watch?v=ge7RY6-lhws
Damit kommen wir der "schönen neuen Welt" doch einen Riesenschritt näher. Blöd nur, wenn beim Programmieren ein Fehler passiert und diese Roboter sich dann gegen die Menschen wenden. Gibt es darüber schon einen Film? Ich könnte wetten, dass ja...
Ähnliches ist auch mit Videos machbar. Ich finde das unheimlich und bedrohlich
Begleittext zu obigem Video (Verfahren erfunden in D):
Morphable Face: Automatic 3D Reconstruction and Manipulation from Single Data-Set Reference Face
https://yt3.ggpht.com/-dqdYKWiC358/AAAAAAAAAAI/AAAAAAAAAAA/_v9qw-un6Xg/s88-c-k-no-mo-rj-c0xffffff/photo.jpg (https://www.youtube.com/user/OzzybanOswald)OzzybanOswald (https://www.youtube.com/channel/UCnNy0GUXQ8DmqzHxF29zHxw)
Am 02.10.2009 veröffentlicht
ABONNIEREN [COLOR=var(--yt-formatted-string-deemphasize_-_color, var(--yt-formatted-string-deemphasize-color))]582
http://www.mpi-inf.mpg.de/~blanz/html... (https://www.youtube.com/redirect?redir_token=nnv0VYcqALRGspJDNeC1f0pI38B8M TUxMzAyODU3MEAxNTEyOTQyMTcw&event=video_description&v=fu7bTemvEKk&q=http%3A%2F%2Fwww.mpi-inf.mpg.de%2F%7Eblanz%2Fhtml%2Fdata%2Fmorphmod2.pd f)The Morphable Face Model captures the variations of 3D shape and texture that occur among human faces. It represents each face by a set of model coefficients, and generates new, natural-looking faces from any novel set of coefficients, which is useful in a wide range of applications in computer vision and computer graphics.The Morphable Face Model is derived from a data set of 3D face models by automatically establishing point-to-point correspondence between the examples, and transforming their shapes and textures into a vector space representation. New faces and expressions can be modeled by forming linear combinations of the prototypes.In this framework, it is easy to control complex facial attributes, such as gender, attractiveness, body weight, or facial expressions. Attributes are automatically learned from a set of faces rated by the user, and can then be applied to classify and manipulate new faces.Given a single photograph of a face, we can estimate its 3D shape, its orientation in space and the illumination conditions in the scene. Starting from a rough estimate of size, orientation and illumination, our algorithm optimizes these parameters along with the face's internal shape and surface colour to find the best match to the input image. The face model extracted from the image can be rotated and manipulated in 3D. Matching a morphable model automatically to a single sample image of a face produces a 3D shape and a texture map estimate. The texture estimate can be improved by additional texture extraction. The 3D model is rendered back into the image after changing facial attributes, such as gaining and loosing weight, frowning , or being forced to smile."Simon Shack" is a high-level infiltrator shill.http://www.ozzybinoswald.com (https://www.youtube.com/redirect?redir_token=nnv0VYcqALRGspJDNeC1f0pI38B8M TUxMzAyODU3MEAxNTEyOTQyMTcw&event=video_description&v=fu7bTemvEKk&q=http%3A%2F%2Fwww.ozzybinoswald.com)
Treffender Kommentar dazu:
Just wait until you see yourself on the 6 o'clock news, robbing the bank! It's so exciting to go to jail! You were the pilot of the computer graphics planes on 9/11, and now film at 6:00! Best weapon ever! Well, that is since tv was invented. It still is the best weapon ever! YOUR TV IS LYING TO YOU. EAT THE RICH. TASTES LIKE CHICKEN! 9/11 was a computer graphics job. The proof is in! Now what do you do? INVESTIGATE. ACT.
Mit solchen Fotos/Videos kann uns doch Alles vorgegaukelt werden. Erinnert mich irgendwie auch an den Film "Das Netz" mit Sandra Bullock aus dem Jahr 1995
Noch etwas mehr von dieser Arbeit:
https://www.youtube.com/watch?time_continue=9&v=XOxxPcy5Gr4
...und demnächst heisst es dann: Ich heirate meinen Roboter
https://www.youtube.com/watch?v=ge7RY6-lhws
Damit kommen wir der "schönen neuen Welt" doch einen Riesenschritt näher. Blöd nur, wenn beim Programmieren ein Fehler passiert und diese Roboter sich dann gegen die Menschen wenden. Gibt es darüber schon einen Film? Ich könnte wetten, dass ja...