Method and electronic device for providing image-based CAPTCHA challenge

A computer-implemented method for providing an image-based Completely Automated Public Turing test to Tell Computers and Humans Apart (CAPTCHA) challenge on an electronic device, wherein the method comprises:

• automatically electing and displaying the image-based CAPTCHA challenge for a user of the electronic device, wherein the CAPTCHA challenge comprises at least two images each of which displays at least one rigged model of same object from different viewpoints, wherein the at least one rigged model is obtained from one of an existing database of rigged models, and a database of rigged models created offline by the electronic device;
• detecting at least one input from the user indicating at least one challenge point in a portion of the at least one object in one image from the at least two images;
• and
• automatically determining whether the portion of the object at which the challenge point indicated by the user corresponds to same portion of the object in another image from the at least two images to qualify the user as a human.

An electronic device for providing an image-based Completely Automated Public Turing test to Tell Computers and Humans Apart (CAPTCHA) challenge, the electronic device is configured to:

• cause to display the image-based CAPTCHA challenge for a user of the electronic device, wherein the image-based CAPTCHA challenge comprises a first image and a second image of at least one three-dimensional (3D) object displayed from different viewpoints, wherein the first image comprises at least one challenge point in at least one portion of the at least one object represented by at least one of existing models in a database or from rigged models wherein the second image is generated from viewpoints of a model of the at least one object present in the first image, wherein the viewpoints are based on a plurality of parameters, wherein the plurality of parameters comprises a distance of a camera from an origin of an object coordinate system, an angle between an optical axis of the camera and a Z-axis of the object coordinate system, and an angle that the optical axis of the camera makes with a Y-axis of the object coordinate system;
• detect at least one input from the user indicating the at least one challenge point in at least one portion of the second image;
• and
• automatically determine whether the at least one portion of the second image on which the at least one input provided by the user corresponds to the at least one portion of the first image where the challenge point is displayed to qualify the user as a human.

An electronic device for providing an image-based Completely Automated Public Turing test to Tell Computers and Humans Apart (CAPTCHA) challenge, the electronic device is configured to:

• automatically elect and display the image-based CAPTCHA challenge for a user of the electronic device, wherein the CAPTCHA challenge comprises at least two images each of which displays at least one rigged model of same object from different viewpoints, wherein the at least one rigged model is obtained from one of an existing database of rigged models, and a database of rigged models created offline by the electronic device;
• detect at least one input from the user indicating at least one challenge point in a portion of the at least one object in one image from the at least two images;
• and
• automatically determine whether the portion of the object at which the challenge point indicated by the user corresponds to same portion of the object in another image from the at least two images to qualify the user as a human.