Samsung electronics co., ltd. (20240331176). METHOD AND ELECTRONIC DEVICE FOR DETERMINING DEPTH INFORMATION OF OBJECTS IN A SCENE simplified abstract
Contents
- 1 METHOD AND ELECTRONIC DEVICE FOR DETERMINING DEPTH INFORMATION OF OBJECTS IN A SCENE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND ELECTRONIC DEVICE FOR DETERMINING DEPTH INFORMATION OF OBJECTS IN A SCENE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about Depth Information Integration Technology
- 1.11 Original Abstract Submitted
METHOD AND ELECTRONIC DEVICE FOR DETERMINING DEPTH INFORMATION OF OBJECTS IN A SCENE
Organization Name
Inventor(s)
Akshat Ramachandran of Bengaluru (IN)
Ankit Dhiman of Bengaluru (IN)
Basavaraja Shanthappa Vandrotti of Bengaluru (IN)
Lokesh Rayasandra Boregowda of Bengaluru (IN)
METHOD AND ELECTRONIC DEVICE FOR DETERMINING DEPTH INFORMATION OF OBJECTS IN A SCENE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331176 titled 'METHOD AND ELECTRONIC DEVICE FOR DETERMINING DEPTH INFORMATION OF OBJECTS IN A SCENE
Simplified Explanation
This patent application describes a method for determining depth information of objects in a scene by combining RGB images and depth images.
- Using an RGB camera to generate RGB images with a high pixel density.
- Using a depth camera to generate a depth image with a lower pixel density.
- Creating an attention map from the RGB images.
- Merging the RGB images and the depth image to generate a merged image.
- Calculating an uncertainty score for each pixel in the merged image.
- Setting a threshold based on the uncertainty score.
- Determining depth values for pixels exceeding the threshold.
- Applying the depth values to the merged image to generate the scene with depth information.
Key Features and Innovation
- Integration of RGB and depth images for depth information.
- Attention map generation to focus on important areas.
- Uncertainty score calculation for accurate depth determination.
- Threshold setting to filter out uncertain depth values.
Potential Applications
This technology can be used in various fields such as:
- Augmented reality
- Robotics
- Autonomous vehicles
- Medical imaging
Problems Solved
- Accurate depth information extraction from scenes.
- Improved object recognition and tracking.
- Enhanced spatial awareness in various applications.
Benefits
- Enhanced depth perception in visual systems.
- Improved decision-making in autonomous systems.
- Enhanced user experience in augmented reality applications.
Commercial Applications
Title: Depth Information Integration Technology for Enhanced Visual Systems This technology can be utilized in industries such as:
- Gaming
- Surveillance
- Industrial automation
- Virtual reality
Questions about Depth Information Integration Technology
What are the key advantages of combining RGB and depth images for depth information?
By combining RGB and depth images, the system can provide more accurate depth information, enabling better object recognition and tracking.
How does the uncertainty score help in determining depth values for pixels in the merged image?
The uncertainty score helps filter out unreliable depth values, ensuring that only accurate depth information is used in the final scene generation.
Original Abstract Submitted
a method for determining depth information of objects in a scene, includes: generating rgb images having a first pixel density using an rgb camera; generating a depth image having a second pixel density using a depth camera, the second pixel density being lower than the first pixel density; generating an attention map using the rgb images with a high pixel density; merging the rgb images and the depth image to generate a merged image; determining an uncertainty score of each pixel of a plurality of pixels in the merged image; determining a threshold for the uncertainty score based on a level of uncertainty in the plurality of pixels; determining a depth value for each pixel of the plurality of pixels exceeding the threshold of the uncertainty score; applying the depth value of each pixel of the plurality of pixels in the merged image; and generating the scene with the depth information based on the depth value.