17826251. APPRATUS AND METHOD WITH 3D MODELING simplified abstract (Samsung Electronics Co., Ltd.)
Contents
APPRATUS AND METHOD WITH 3D MODELING
Organization Name
Inventor(s)
APPRATUS AND METHOD WITH 3D MODELING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17826251 titled 'APPRATUS AND METHOD WITH 3D MODELING
Simplified Explanation
The abstract describes a method for three-dimensional modeling using a processor. Here are the key points:
- The method determines the type of movement of an object detected in an image based on the variability of its position and shape.
- The object is segmented into smaller chunks, each representing a unit of movement, based on the determined type of movement.
- The determined type of movement is corrected by analyzing the change in position of feature points within the object.
- The state of the movement of the object is determined based on the corrected type of movement.
- The pose of the sensor is corrected based on the state of the object.
- The pose for each chunk of the object is updated based on the determined state of the object and the corrected pose of the sensor.
Potential Applications
- Three-dimensional modeling and reconstruction of objects or scenes.
- Augmented reality applications.
- Robotics and autonomous systems.
- Virtual reality and gaming.
Problems Solved
- Accurate and efficient three-dimensional modeling of objects with varying shapes and movements.
- Improved tracking and understanding of object movements in images.
- Enhanced sensor pose correction for more accurate modeling.
Benefits
- Improved accuracy and realism in three-dimensional modeling.
- Better understanding and tracking of object movements.
- Enhanced capabilities for augmented reality and virtual reality applications.
- Improved performance and efficiency in robotics and autonomous systems.
Original Abstract Submitted
A processor-implemented method with three-dimensional (3D) modeling includes: determining a type of movement of an object detected in an image received from a sensor, based on a variability of a position of the object and a variability of a shape of the object; segmenting the object into one or more chunks each corresponding to a unit of movement, based on the determined type of movement; correcting the determined type of movement based on a change in position of one or more feature points of the one or more chunks of the object in the image; determining a state of the movement of the object based on the corrected type of the movement of the object; correcting a pose of the sensor based on a state of the object; and updating a pose for each of the one or more chunks of the object based on the determined state of the object and the corrected pose of the sensor.