Qualcomm incorporated (20240281996). SYSTEMS AND METHODS FOR MOTION BLUR COMPENSATION FOR FEATURE TRACKING simplified abstract
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 20240281996 titled 'SYSTEMS AND METHODS FOR MOTION BLUR COMPENSATION FOR FEATURE TRACKING
The abstract describes imaging systems and techniques that involve receiving an image of an environment captured using an image sensor and motion data captured using a motion sensor. The system then determines a weight associated with features of the environment in the image based on an estimated motion blur level, tracks these features across multiple images, and uses them for mapping the environment and determining the system's pose.
- System receives image of environment from image sensor and motion data from motion sensor
- Determines weight for features in the image based on estimated motion blur level
- Tracks features across multiple images using respective weights
- Uses tracked features for mapping the environment and determining system pose
Potential Applications: - Robotics for navigation and mapping - Augmented reality for accurate object placement - Virtual reality for immersive experiences
Problems Solved: - Improving accuracy of mapping and pose determination - Enhancing image quality in dynamic environments - Optimizing performance of imaging systems in motion
Benefits: - Increased precision in environmental mapping - Enhanced user experience in AR and VR applications - Improved efficiency in robotic navigation
Commercial Applications: Title: Advanced Imaging Systems for Robotics and AR/VR Applications This technology can be utilized in industries such as robotics, augmented reality, virtual reality, and autonomous vehicles. Companies developing mapping and navigation systems can benefit from the enhanced accuracy and performance offered by this innovation.
Questions about the technology: 1. How does this technology improve the accuracy of mapping in dynamic environments? 2. What are the potential implications of using this system in autonomous vehicles for navigation and object detection?
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.
