18523529. RECOMMENDATIONS FOR IMAGE CAPTURE simplified abstract (QUALCOMM Incorporated)

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RECOMMENDATIONS FOR IMAGE CAPTURE

Organization Name

QUALCOMM Incorporated

Inventor(s)

Sandeep Sethia of Bengaluru (IN)

Ravichandra Ponaganti of Hyderabad (IN)

RECOMMENDATIONS FOR IMAGE CAPTURE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18523529 titled 'RECOMMENDATIONS FOR IMAGE CAPTURE

Simplified Explanation

The patent application abstract describes a system and method for adjusting the posture of a subject being photographed by analyzing an image of the subject and providing recommendations for posture adjustments based on stored user postures.

  • The system uses a camera on a mobile device to capture an image of the subject posing in a first posture.
  • It then compares the first posture to a set of stored user postures to determine a match with a second posture.
  • Based on this match, the system generates recommendations for adjustments to the subject's posture to increase the matching amount between the two postures.

Potential Applications

This technology could be applied in various fields such as photography, fashion, fitness, and healthcare to help individuals improve their posture and posing techniques.

Problems Solved

This technology addresses the challenge of achieving the desired posture in photography or other activities by providing personalized recommendations for posture adjustments.

Benefits

- Helps individuals enhance their posing skills - Enables photographers to capture better images - Promotes better posture and body alignment

Potential Commercial Applications

"Posture Adjustment System for Photography and Beyond" could be used in photography studios, fitness centers, fashion shows, and healthcare facilities to offer posture improvement services.

Possible Prior Art

Prior art may include posture correction apps, photography pose guides, and fitness apps that provide posture feedback.

Unanswered Questions

How accurate are the posture adjustment recommendations provided by the system?

The accuracy of the recommendations may vary based on factors such as the quality of the image, the diversity of stored user postures, and the algorithm used for matching.

Can the system be integrated with existing photography or fitness apps?

It is unclear from the abstract whether the system can be easily integrated with other applications to enhance their functionality.


Original Abstract Submitted

Systems, methods, and non-transitory media are provided for adjusting a posture of a subject being photographed. An example method can include obtaining, via a camera of a mobile device, an image depicting a subject posing in a first posture; determining a match between the first posture of the subject depicted in the image and a second posture from a set of stored user postures; and based on the match, generating a recommendation indicating one or more suggested adjustments to the first posture of the subject, the one or more suggested adjustments being estimated to increase a matching amount between the first posture of the subject and the second posture from the set of stored user postures.