Patents by Inventor Vikas Gottemukkula
Vikas Gottemukkula has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20150241967Abstract: Methods and systems for eye gaze tracking are provided, in which a plurality of images of at least one eye are received and, for each image of the eye(s), a plurality of stable vascular points associated with a vasculature of the eye(s) are identified. Based on the identified stable vascular points in the received images of the eye(s), a gaze angle of the eye(s) is determined.Type: ApplicationFiled: February 25, 2015Publication date: August 27, 2015Inventors: Sashi Kanth SARIPALLE, Reza DERAKHSHANI, Vikas GOTTEMUKKULA
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Publication number: 20150186721Abstract: Methods and systems for securing biometric templates and generating secret keys are provided. One or more images are received. Interest points are identified based on the received images, and a plurality of obfuscating data points are generated based on the interest points. An obfuscated template based on the interest points and the obfuscating data points is created and stored. A secret key can be encoded using a subset of at least one of the obfuscating data points and the interest points in the template.Type: ApplicationFiled: March 5, 2015Publication date: July 2, 2015Inventors: Reza R. Derakhshani, Vikas Gottemukkula, Sashi K. Saripalle
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Patent number: 9053365Abstract: An enrollment template can be a collection of interest points such as vascular points (VPD) and corresponding features such as Enhanced Multi-Radii Local Binary Patterns (EMR-LBP), Pattern Histograms of Enhanced Multi-Radii Local Binary Patterns (PH-EMR-LBP), Pattern histograms of Enhanced Multi-Radii Center-Symmetric Local Binary Patterns (PH-EMR-CS-LBP), and Enhanced Multi-Radii Center-Symmetric Local Binary Patterns (EMR-CS-LBP). In some implementations, an enrollment template can be created only if the acquired image exceeds a certain threshold based on ratio of VPD points to that of size of segmented scleral region. More than one enrollments are possible for a single user. Enrollment templates can be updated to accommodate behavioral and/or environmental variations affecting the acquired scans. Updating the enrollment templates using verification can be based on quality of a candidate verification template, match score, and/or other image and exposure similarity measures.Type: GrantFiled: May 9, 2014Date of Patent: June 9, 2015Assignee: EyeVerify, Inc.Inventors: Vikas Gottemukkula, Reza R. Derakhshani, Sashi K. Saripalle
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Publication number: 20150078630Abstract: Methods and systems for securing biometric templates and generating secret keys are provided. One or more images are received. Interest points are identified based on the received images, and a plurality of obfuscating data points are generated based on the interest points. An obfuscated template based on the interest points and the obfuscating data points is created and stored. A secret key can be encoded using a subset of at least one of the obfuscating data points and the interest points in the template.Type: ApplicationFiled: August 7, 2014Publication date: March 19, 2015Inventors: Reza R. Derakhshani, Vikas Gottemukkula, Sashi K. Saripalle
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Publication number: 20150078629Abstract: An enrollment template can be a collection of interest points such as vascular points (VPD) and corresponding features such as Enhanced Multi-Radii Local Binary Patterns (EMR-LBP), Pattern Histograms of Enhanced Multi-Radii Local Binary Patterns (PH-EMR-LBP), Pattern histograms of Enhanced Multi-Radii Center-Symmetric Local Binary Patterns (PH-EMR-CS-LBP), and Enhanced Multi-Radii Center-Symmetric Local Binary Patterns (EMR-CS-LBP). In some implementations, an enrollment template can be created only if the acquired image exceeds a certain threshold based on ratio of VPD points to that of size of segmented scleral region. More than one enrollments are possible for a single user. Enrollment templates can be updated to accommodate behavioral and/or environmental variations affecting the acquired scans. Updating the enrollment templates using verification can be based on quality of a candidate verification template, match score, and/or other image and exposure similarity measures.Type: ApplicationFiled: May 9, 2014Publication date: March 19, 2015Inventors: Vikas Gottemukkula, Reza R. Derakhshani, Sashi K. Saripalle
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Patent number: 8965066Abstract: Methods and systems for securing biometric templates and generating secret keys are provided. One or more images are received. Interest points are identified based on the received images, and a plurality of obfuscating data points are generated based on the interest points. An obfuscated template based on the interest points and the obfuscating data points is created and stored. A secret key can be encoded using a subset of at least one of the obfuscating data points and the interest points in the template.Type: GrantFiled: August 7, 2014Date of Patent: February 24, 2015Assignee: Eye Verify LLCInventors: Reza R. Derakhshani, Vikas Gottemukkula, Sashi K. Saripalle
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Publication number: 20140294252Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining first image of an eye including a view of the white of the eye. The method may further include determining metrics for the first image, including a first metric for reflecting an extent of one or more connected structures in the first image that represents a morphology of eye vasculature and a second metric for comparing the extent of eye vasculature detected across different color components in the first image. A quality score may be determined based on the metrics for the first image. The first image may be rejected or accepted based on the quality score.Type: ApplicationFiled: May 6, 2014Publication date: October 2, 2014Applicant: EyeVerify LLCInventors: Reza DERAKHSHANI, Vikas Gottemukkula
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Publication number: 20140270405Abstract: In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining one or more image regions from a first image of an eye. Each of the image regions may include a view of a respective portion of the white of the eye. The method may further include applying several distinct filters to each of the image regions to generate a plurality of respective descriptors for the region. The several distinct filters may include convolutional filters that are each configured to describe one or more aspects of an eye vasculature and in combination describe a visible eye vasculature in a feature space. A match score may be determined based on the generated descriptors and based on one or more descriptors associated with a second image of eye vasculature.Type: ApplicationFiled: May 30, 2014Publication date: September 18, 2014Applicant: EyeVerify LLCInventors: Reza DERAKHSHANI, Vikas Gottemukkula, Casey Hughlett
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Patent number: 8744141Abstract: In general, one aspect of the subject matter described can be embodied in methods that include obtaining one or more image regions from a first image of an eye. Each of the image regions may include a view of a respective portion of the white of the eye. The method may further include applying several distinct filters to each of the image regions to generate a plurality of respective descriptors for the region. The several distinct filters may include convolutional filters that are each configured to describe one or more aspects of an eye vasculature and in combination describe a visible eye vasculature in a feature space. A match score may be determined based on the generated descriptors and based on one or more descriptors associated with a second image of eye vasculature.Type: GrantFiled: July 24, 2013Date of Patent: June 3, 2014Assignee: EyeVerify LLCInventors: Reza Derakhshani, Vikas Gottemukkula, Casey Hughlett
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Patent number: 8724857Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining a first image of an eye including a view of the white of the eye. The method may further include determining metrics for the first image, including a first metric for reflecting an extent of one or more connected structures in the first image that represents a morphology of eye vasculature and a second metric for comparing the extent of eye vasculature detected across different color components in the first image. A quality score may be determined based on the metrics for the first image. The first image may be rejected or accepted based on the quality score.Type: GrantFiled: June 6, 2013Date of Patent: May 13, 2014Assignee: EyeVerify LLCInventors: Reza Derakhshani, Vikas Gottemukkula
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Publication number: 20140044320Abstract: In general, one aspect of the subject matter described can be embodied in methods that include obtaining one or more image regions from a first image of an eye. Each of the image regions may include a view of a respective portion of the white of the eye. The method may further include applying several distinct filters to each of the image regions to generate a plurality of respective descriptors for the region. The several distinct filters may include convolutional filters that are each configured to describe one or more aspects of an eye vasculature and in combination describe a visible eye vasculature in a feature space. A match score may be determined based on the generated descriptors and based on one or more descriptors associated with a second image of eye vasculature.Type: ApplicationFiled: July 24, 2013Publication date: February 13, 2014Applicant: EyeVerify LLCInventors: Reza Derakhshani, Vikas Gottemukkula, Casey Hughlett
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Publication number: 20140044319Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining a first image of an eye including a view of the white of the eye. The method may further include determining metrics for the first image, including a first metric for reflecting an extent of one or more connected structures in the first image that represents a morphology of eye vasculature and a second metric for comparing the extent of eye vasculature detected across different color components in the first image. A quality score may be determined based on the metrics for the first image. The first image may be rejected or accepted based on the quality score.Type: ApplicationFiled: June 6, 2013Publication date: February 13, 2014Inventors: Reza Derakhshani, Vikas Gottemukkula
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Patent number: 8483450Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining a first image of an eye including a view of the white of the eye. The method may further include determining metrics for the first image, including a first metric for reflecting an extent of one or more connected structures in the first image that represents a morphology of eye vasculature and a second metric for comparing the extent of eye vasculature detected across different color components in the first image. A quality score may be determined based on the metrics for the first image. The first image may be rejected or accepted based on the quality score.Type: GrantFiled: August 10, 2012Date of Patent: July 9, 2013Assignee: EyeVerify LLCInventors: Reza Derakhshani, Vikas Gottemukkula
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Patent number: 8369595Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining one or more image regions from a first image of an eye. Each of the image regions may include a view of a respective portion of the white of the eye. The method may further include applying several distinct filters to each of the image regions to generate a plurality of respective descriptors for the region. The several distinct filters may include convolutional filters that are each configured to describe one or more aspects of an eye vasculature and in combination describe a visible eye vasculature in a feature space. A match score may be determined based on the generated descriptors and based on one or more descriptors associated with a second image of eye vasculature.Type: GrantFiled: August 10, 2012Date of Patent: February 5, 2013Assignee: EyeVerify LLCInventors: Reza Derakhshani, Vikas Gottemukkula, Casey Hughlett