17556081. METHOD OF DETERMINING VISUAL INTERFERENCE USING A WEIGHTED COMBINATION OF CIS AND DVS MEASUREMENT simplified abstract (SAMSUNG ELECTRONICS CO.,LTD.)
Contents
METHOD OF DETERMINING VISUAL INTERFERENCE USING A WEIGHTED COMBINATION OF CIS AND DVS MEASUREMENT
Organization Name
Inventor(s)
SRENIVAS Varadarajan of KARNATAKA (IN)
ANAMIKA Sharma of MADHYA PRADESH (IN)
METHOD OF DETERMINING VISUAL INTERFERENCE USING A WEIGHTED COMBINATION OF CIS AND DVS MEASUREMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 17556081 titled 'METHOD OF DETERMINING VISUAL INTERFERENCE USING A WEIGHTED COMBINATION OF CIS AND DVS MEASUREMENT
Simplified Explanation
The patent application describes a method for combining measurements from a dynamic vision sensor (DVS) and a contact image sensor (CIS) in an electronic device to determine visual inference.
- The electronic device receives a DVS image and a CIS image from the image sensor.
- The device determines various parameters associated with the DVS image and the velocities of features in the CIS image.
- It calculates a confidence level for the DVS features based on the determined parameters.
- It also calculates a confidence level for the CIS features based on their velocities.
- The device then calculates a weighted visual inference by considering both the DVS feature confidence and the CIS feature confidence.
Potential applications of this technology:
- Robotics: This method can be used in robots to enhance their visual perception by combining data from different types of image sensors.
- Autonomous vehicles: By integrating DVS and CIS measurements, the technology can improve the visual inference capabilities of self-driving cars.
- Surveillance systems: The method can be applied in surveillance cameras to enhance object detection and tracking accuracy.
Problems solved by this technology:
- Combining measurements from different image sensors can provide a more comprehensive and accurate visual inference.
- The method allows for the integration of dynamic vision sensor data, which captures changes in the scene, with contact image sensor data, which provides detailed static images.
- By considering the confidence levels of both types of features, the weighted visual inference can be more reliable and robust.
Benefits of this technology:
- Improved visual perception: The combination of DVS and CIS measurements enhances the device's ability to understand and interpret visual information.
- Enhanced accuracy: By considering feature velocities and confidence levels, the weighted visual inference can provide more accurate results.
- Robustness: The method allows for reliable visual inference even in dynamic and changing environments.
Original Abstract Submitted
The embodiments herein provide a method of obtaining a weighted combination of dynamic vision sensor (DVS) measurements and contact image sensor (CIS) measurements for determining visual inference in an electronic device, the method includes receiving, by the electronic device, a DVS image and a CIS image from the image sensor; determining, by the electronic device, a plurality of parameters associated with the DVS image and feature velocities of a plurality of CIS features present in the CIS image; determining, by the electronic device, a determined DVS feature confidence based on the plurality of parameters associated with the DVS image; determining, by the electronic device, a determined CIS feature confidence based on the feature velocities of the plurality of features present in the CIS image; and calculating, by the electronic device, a weighted visual inference based on the determined DVS feature confidence and the determined CIS feature confidence.
