COMPUTER-AIDED GENERATION OF TARGET IMAGE Russian patent published in 2015 - IPC A63F13/00 G06T19/00 

Abstract RU 2560340 C2

FIELD: physics, video.

SUBSTANCE: proposed process can reduce or eliminate manual input required for generation of target display. For example, system incorporating the grabber can detect various user attributes in physical space to selected said attributes from the library of options of visual display of attributes on the basis of detected attributes. This system can automatically apply said selections to user visual display on the basis of detected attributes. Alternatively, this system can perform selections which narrow the number of options for attributes for user to select from. System can apply selections to the user in real time mode and update the selected attributes related to target visual display in real time scale. Note here that this method comprises the steps that follow. Computer is used to receive the data on the target. Note here that said data includes data representing the target in physical space. At least one target attribute is detected from said data. Said one attribute is compared with target attribute with options of visual image attributes. Note here that options of visual image attributes comprises selected options configured for application to visual image of said target. Visual image attribute is selected from options of visual images. Visual image attribute is applied to target visual image. Visual image is visualized with the help of the display. Target is monitored to detect the changes in at least one detected target attribute. said visual image is updated by updating of said attribute of visual image applied to visual image on the basis of aforesaid change in said at least one detected target attribute. Note also that at least several of said at least one detected changed target attribute is updated by the user before application to target visual image.

EFFECT: perfected image generation system.

18 cl, 10 dwg

Similar patents RU2560340C2

Title Year Author Number
EMBODIMENT OF VISUAL REPRESENTATION USING STUDIED INPUT FROM USER 2010
  • Peres Katrin Stoun
  • Kipman Aleks
  • Berton Nikolas D.
  • Uilson Ehndrju
RU2554548C2
VISUAL REPRESENTATION EXPRESSION BASED ON PLAYER EXPRESSION 2010
  • Peres Katrin Stoun
  • Kipman Aleks
  • Berton Nikolas D.
  • Uilson Ehndrju
RU2560794C2
ASSOCIATION OF ANIMATIONS 2010
  • Gajsner Kevin
  • Markovich Rel'Ja
  • Latta Stefen Dzhilkrist
  • Snuk Gregori Nel'Son
RU2530708C2
SYSTEM AND METHOD FOR AUGMENTED AND VIRTUAL REALITY 2012
  • Miller Samuel A.
RU2621633C2
SYSTEMS AND METHODS FOR APPLYING MODEL TRACKING FOR MOTION CAPTURE 2010
  • Margolis Dzheffri
RU2580450C2
ALLOCATION OF MACHINE LEARNING RESOURCE 2013
  • Novozin Rajnkhard Sebastian Bernkhard
  • Lokh Po-Ling
RU2648573C2
VIRTUAL OBJECT MANIPULATION 2010
  • Latta Stefen G.
  • Gajsner Kevin
  • Markovich Rel'Ja
  • Bennett Darren Aleksandr
  • Tomlin Artur Charl'Z
RU2555228C2
GESTURE SHORTCUTS 2010
  • Latta Stefen
  • Gajsner Kevin
  • Klevin Dzhon
  • Tsunoda Kudo
  • Peres Katrin Stoun
  • Markovich Rel'Ja
  • Snuk Gregori N.
  • Kipman Aleks
RU2574830C2
ADAPTIVE EVENT RECOGNITION 2014
  • Akerman, Nejtan
  • Finokkio, Mark Dzh.
  • Khodzh, Endryu Bert
RU2684189C2
DEVICES, SYSTEMS AND METHODS OF VIRTUALISING MIRROR 2014
  • Vilkovski Nissi
  • Saban Ofer
RU2668408C2

RU 2 560 340 C2

Authors

Peres Katrin Stoun

Kipman Aleks

Berton Nikolas D.

Uilson Ehndrju

Dates

2015-08-20Published

2010-07-27Filed