US2022368881A1PendingUtilityA1

Detection and ranging based on a single monoscopic frame

Assignee: BITANIMATE INCPriority: Jan 25, 2019Filed: Jan 27, 2020Published: Nov 17, 2022
Est. expiryJan 25, 2039(~12.5 yrs left)· nominal 20-yr term from priority
H04N 2013/0081G06T 2207/10012G06V 10/764H04N 13/268H04N 13/271H04N 13/261G06T 7/593H04N 13/207
49
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Claims

Abstract

One or more stereoscopic images are generated based on a single monoscopic image that may be obtained from a camera sensor. Each stereoscopic image includes a first digital image and a second digital image that, when viewed using any suitable stereoscopic viewing technique, result in a user or software program receiving a three-dimensional effect with respect to the elements included in the stereoscopic images. The monoscopic image may depict a geographic setting of a particular geographic location and the resulting stereoscopic image may provide a three-dimensional (3D) rendering of the geographic setting Use of the stereoscopic image helps a system obtain more accurate detection and ranging capabilities. The stereoscopic image may be any configuration of the first digital image (monoscopic) and the second digital image (monoscopic) that together may generate a 3D effect as perceived by a viewer or software program.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method comprising:
 obtaining a first digital image via a detection application, the first digital image a monoscopic image depicting a setting from a first position of a camera sensor communicatively coupled to the detection application;   based on the first digital image, generating a second digital image that is monoscopic and depicts the setting from a second position different from the first position; and   generating a stereoscopic image of the setting that includes the first digital image and the second digital image.   
     
     
         2 . The method of  claim 1 , further comprising:
 obtaining a plurality of stereoscopic pair images that each includes a first monoscopic image and a second monoscopic image; and   sending the plurality of stereoscopic pair images as inputs into a graph-based model.   
     
     
         3 . The method of  claim 2 , further comprising:
 sending the first digital image as an input into the graph-based model, wherein the second digital image is output from the graph-based model based on one or both of the plurality of stereoscopic pair images and the first digital image input into the graph-based model.   
     
     
         4 . The method of  claim 1 , further comprising:
 generating a depth map that includes a corresponding pixel for each pixel in the stereoscopic image, each corresponding pixel in the depth map representative of relative distance data from the camera sensor for each respective pixel in the stereoscopic image.   
     
     
         5 . The method of  claim 4 , further comprising:
 associating a subset of pixels of a total amount of pixels in the depth map as indicative of an object; and   based on a portion of the subset of pixels in the depth map associated with the object, obtaining an actual distance from the camera sensor to the object in the stereoscopic image using:
 the relative distance data of the portion associated with object; 
 a focal point of the first digital image and the second digital image; and 
 a displacement factor between the first digital image and the second digital image. 
   
     
     
         6 . The method of  claim 5 , further comprising:
 sending a warning for presentation via the detection application when the actual distance to the object satisfies a first threshold distance; or   causing, via the detection application, a machine communicatively coupled to the detection application to perform a corrective action when the actual distance to the object satisfies a second threshold distance.   
     
     
         7 . The method of  claim 5 , wherein obtaining the actual distance to the object includes determining a correction value that compensates for an offset in distance measurements based on perceived depth in the stereoscopic image. 
     
     
         8 . The method of  claim 1 , further comprising:
 determining a presence of an object within the stereoscopic image; and   based on image recognition processing of the object via a graph-based model, classifying the object.   
     
     
         9 . The method of  claim 1 , wherein the first digital image includes a trajectory of a machine. 
     
     
         10 . A system comprising:
 a display;   a processor coupled to the display and configured to direct data to be presented on the display; and   at least one non-transitory computer-readable media communicatively coupled to the processor and configured to store one or more instructions that when executed by the processor cause or direct the system to perform operations comprising:
 obtain a first digital image via a camera sensor associated with a machine, the first digital image a monoscopic image depicting a first area of a setting from a first position of a camera sensor communicatively coupled to the machine; 
 based on the first digital image, generate a second digital image that is monoscopic and depicts the setting from a second position different from the first position; and 
 generate a stereoscopic image of the setting that includes the first digital image and the second digital image. 
   
     
     
         11 . The system of  claim 10 , wherein the operations further comprise:
 generating a depth map that includes a corresponding pixel for each pixel in the stereoscopic image, each corresponding pixel in the depth map representative of relative distance data from the camera sensor for each respective pixel in the stereoscopic image.   
     
     
         12 . The system of  claim 11 , wherein the operations further comprise:
 associating a subset of pixels of a total amount of pixels in the depth map as indicative of an object; and   based on a portion of the subset of pixels in the depth map associated with the object, obtaining an actual distance from the camera sensor to the object in the stereoscopic image using:
 the relative distance data of the portion associated with object; 
 a focal point of the first digital image and the second digital image; and 
 a displacement factor between the first digital image and the second digital image. 
   
     
     
         13 . The system of  claim 12 , wherein the operations further comprise:
 sending a warning for presentation at the display via a detection application when the actual distance to the object satisfies a first threshold distance; or   causing, via the detection application, a machine communicatively coupled to the detection application to perform a corrective action when the actual distance to the object satisfies a second threshold distance.   
     
     
         14 . The system of  claim 12 , wherein obtaining the actual distance to the object includes determining a correction value that compensates for an offset in distance measurements based on perceived depth in the stereoscopic image. 
     
     
         15 . The system of  claim 10 , wherein the operations further comprise:
 determining a presence of an object within the stereoscopic image; and   based on image recognition processing of the object via a graph-based model, classifying the object.   
     
     
         16 . The system of  claim 10 , wherein the first digital image includes a trajectory of a machine. 
     
     
         17 . A system comprising:
 to a processor; and   at least one non-transitory computer-readable media communicatively coupled to the processor and configured to store one or more instructions that when executed by the processor cause or direct the system to perform operations comprising:
 obtain a first digital image via a camera sensor associated with a machine, the first digital image a monoscopic image depicting a first area of a setting from a first position of a camera sensor communicatively coupled to the machine; 
 based on the first digital image, generate a second digital image that is monoscopic and depicts the setting from a second position different from the first position; and 
 generating a stereoscopic image of the setting that includes the first digital image and the second digital image. 
   
     
     
         18 . The system of  claim 17 , wherein the operations further comprise:
 generating a depth map that includes a corresponding pixel for each pixel in the stereoscopic image, each corresponding pixel in the depth map representative of relative distance data from the camera sensor for each respective pixel in the stereoscopic image.   
     
     
         19 . The system of  claim 18 , wherein the operations further comprise:
 associating a subset of pixels of a total amount of pixels in the depth map as indicative of an object; and   based on a portion of the subset of pixels in the depth map associated with the object, obtaining an actual distance from the camera sensor to the object in the stereoscopic image using:
 the relative distance data of the portion associated with object; 
 a focal point of the first digital image and the second digital image; and 
 a displacement factor between the first digital image and the second digital image.

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