18110803. SYSTEMS AND METHODS FOR MOTION BLUR COMPENSATION FOR FEATURE TRACKING simplified abstract (QUALCOMM Incorporated)
Contents
SYSTEMS AND METHODS FOR MOTION BLUR COMPENSATION FOR FEATURE TRACKING
Organization Name
Inventor(s)
Srujan Babu Nandipati of Bangalore (IN)
Chiranjib Choudhuri of Bangalore (IN)
Pushkar Gorur Sheshagiri of Bengaluru (IN)
Vinod Kumar Saini of Bengaluru (IN)
Ajit Deepak Gupte of Bangalore (IN)
SYSTEMS AND METHODS FOR MOTION BLUR COMPENSATION FOR FEATURE TRACKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18110803 titled 'SYSTEMS AND METHODS FOR MOTION BLUR COMPENSATION FOR FEATURE TRACKING
Simplified Explanation: The patent application describes imaging systems and techniques that use image sensors and motion sensors to capture and analyze images of an environment. The system determines the motion blur level of features in the image and tracks these features across multiple images to map the environment and determine the system's pose.
Key Features and Innovation:
- System receives images of an environment and motion data to analyze features and motion blur levels.
- Determines weights for features based on estimated motion blur levels.
- Tracks features across multiple images using these weights for mapping and pose determination.
Potential Applications: This technology can be used in various applications such as:
- Autonomous navigation systems
- Augmented reality applications
- Robotics and drones for environment mapping
Problems Solved: This technology addresses the following problems:
- Accurate mapping of environments
- Pose determination in dynamic environments
- Motion blur correction in captured images
Benefits: The benefits of this technology include:
- Improved accuracy in environment mapping
- Enhanced pose determination for systems
- Reduction of motion blur in captured images
Commercial Applications: Potential commercial applications include:
- Autonomous vehicles for accurate navigation
- Surveillance systems for tracking moving objects
- Virtual reality systems for immersive experiences
Questions about Imaging Systems and Techniques: 1. How does this technology improve the accuracy of environment mapping? 2. What are the key factors that influence the determination of motion blur levels in images?
2. Another relevant generic question, with a detailed answer: How can this technology be integrated into existing imaging systems to enhance their capabilities? By incorporating the features of this technology into existing imaging systems, it can improve their accuracy in mapping environments, determining poses, and reducing motion blur in captured images. This integration can lead to more advanced applications in autonomous navigation, augmented reality, and robotics.
Original Abstract Submitted
Imaging systems and techniques are described. A system receives an image of an environment captured using an image sensor according to an image capture setting, and receives motion data captured using a motion sensor. The system determines a weight associated with at least one of a plurality of features of the environment in the image based on an estimated motion blur level for the at least one of the features of the environment in the image. The estimated motion blur level is based on the motion data and the image capture setting. The system tracks the features of the environment across a plurality of images (that includes the received image) according to respective weights (that include the determined weight) for the features of the environment across the plurality of images. The system can use the tracked features for mapping the environment and/or determining the pose of the system.
