US2015302636A1PendingUtilityA1

3d modeling and rendering from 2d images

Assignee: NEDSENSE LOFT B VPriority: Jan 18, 2011Filed: Jul 1, 2015Published: Oct 22, 2015
Est. expiryJan 18, 2031(~4.5 yrs left)· nominal 20-yr term from priority
G06T 15/005G06T 2200/04G06T 7/0075G06T 2207/10012G06T 19/006G06T 15/205G06T 7/593G06T 2210/04
35
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Claims

Abstract

A method of converting an image from one form to another form by a conversion apparatus having a memory and a processor, the method including the steps of receiving a captured image, extracting at least one image dimension attribute from the image, calculating at least one dimension attribute of the image based on the image dimension attribute, modifying the image based on the calculated dimension attribute and the extracted dimension attribute, and displaying the modified image on a display unit.

Claims

exact text as granted — not AI-modified
What is claimed: 
     
         1 . A method of converting an image from one form to another form by a conversion apparatus having a memory and a processor, the method including the steps of:
 receiving a captured image;   extracting at least one image dimension attribute from the image;   calculating at least one dimension attribute of the image based on the image dimension attribute;   modifying the image based on the calculated dimension attribute and the extracted dimension attribute; and   displaying the modified image on a display unit.   
     
     
         2 . The method of  claim 1 , wherein the image includes a room in a building. 
     
     
         3 . The method of  claim 1  including the steps of
 selecting an object to insert into the image; 
 modifying the object based on the calculated dimensional attribute; 
 inserting the modified object into the image. 
 
     
     
         4 . The method of  claim 2  including the step of
 identifying at least one wall in the room; and 
 determining the color attributes of the identified wall. 
 
     
     
         5 . The method of  claim 1  including the step of determining the location of the image capturing device in relation to the image. 
     
     
         6 . The method of  claim 5  including the step of determining an attribute of the image capturing device based on the calculated dimension attribute and the extracted dimension attribute. 
     
     
         7 . The method of  claim 1  including the steps of
 identifying a removal area in the image; 
 identifying objects in the removal area; 
 identifying at least one sample area in the image; 
 replacing identified objects in the removal area with at least one sample area. 
 
     
     
         8 . The method of  claim 7  including the steps of
 dividing the removal area into a plurality of rectangles of substantially the same size, 
 wherein the sample area is larger than the size of each rectangle in the removal area. 
 
     
     
         9 . The method of  claim 8  including the step of comparing each rectangle in the removal area with each sample area to determine the sample area to insert into each rectangle in the removal area. 
     
     
         10 . The method of  claim 2 , wherein the received dimension is the width of an object on a sidewall of the room. 
     
     
         11 . An image conversion system having a conversion apparatus including:
 an image receiving unit that receives a captured image;   a dimension extracting unit that extracts at least one image dimension attribute from the image;   an image calculating unit configured to calculate at least one dimension attribute of the image based on the image dimension attribute;   an image modifying unit that modifies the image based on the calculated dimension attribute and the extracted dimension attribute; and   an image display unit that displays the modified image.   
     
     
         12 . The image conversion system of  claim 11 , wherein the image includes a room in a building. 
     
     
         13 . The image conversion system of  claim 11  including
 an object selection unit that selects an object to insert into the image, 
 wherein, 
 the image modifying unit modifies the object based on the calculated dimensional attribute and inserts the modified object into the image. 
 
     
     
         14 . The image conversion system of  claim 12  wherein the image calculating unit identifies at least one wall in the room, and determines the color attributes of the identified wall. 
     
     
         15 . The image conversion system of  claim 11  wherein the image calculating unit determines the location of the image capturing device in relation to the image. 
     
     
         16 . The image conversion system of  claim 15  wherein the image calculating unit determines an attribute of the image capturing device based on the calculated dimension attribute and the received dimension attribute. 
     
     
         17 . The image conversion system of  claim 11  wherein
 the image analysis unit identifies a removal area in the image; 
 the image analysis unit identifies objects in the removal area; 
 the image analysis unit identifies at least one sample area in the image; 
 the image analysis unit replaces an identified objects in the removal area with at least one sample area. 
 
     
     
         18 . The image conversion system of  claim 17   the image analysis unit divides the removal area into a plurality of rectangles of substantially the same size,   wherein the sample area is larger than the size of each rectangle in the removal area.   
     
     
         19 . The image conversion system of  claim 18  wherein the image analysis unit compares each rectangle in the removal area with each sample area to determine the sample area to insert into each rectangle in the removal area. 
     
     
         20 . The image conversion system of  claim 12 , wherein the received dimension is the width of an object on a sidewall of the room.

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