18079423. USER INTERFACE FOR ROLLING SHUTTER CAMERA ARRAYS AND ACCURATE VOLUMETRIC CAPTURE WORKFLOWS simplified abstract (SONY GROUP CORPORATION)
Contents
- 1 USER INTERFACE FOR ROLLING SHUTTER CAMERA ARRAYS AND ACCURATE VOLUMETRIC CAPTURE WORKFLOWS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 USER INTERFACE FOR ROLLING SHUTTER CAMERA ARRAYS AND ACCURATE VOLUMETRIC CAPTURE WORKFLOWS - A simplified explanation of the abstract
- 1.4 Potential Applications
- 1.5 Problems Solved
- 1.6 Benefits
- 1.7 Commercial Applications
- 1.8 Prior Art
- 1.9 Frequently Updated Research
- 1.10 Questions about Image Synchronization
- 1.11 Original Abstract Submitted
USER INTERFACE FOR ROLLING SHUTTER CAMERA ARRAYS AND ACCURATE VOLUMETRIC CAPTURE WORKFLOWS
Organization Name
Inventor(s)
Luis Vasconcelos of San Marcos CA (US)
Nikolaos Georgis of San Diego CA (US)
USER INTERFACE FOR ROLLING SHUTTER CAMERA ARRAYS AND ACCURATE VOLUMETRIC CAPTURE WORKFLOWS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18079423 titled 'USER INTERFACE FOR ROLLING SHUTTER CAMERA ARRAYS AND ACCURATE VOLUMETRIC CAPTURE WORKFLOWS
The patent application describes an apparatus with processors and logic to analyze images captured by multiple cameras to determine synchronization errors.
- The apparatus receives a first image of an object from a first camera and determines keypoints and pose.
- It then receives a second image from a second camera and calculates the overlap between the two images based on keypoints and poses.
- The apparatus further determines synchronization errors between the first and second images based on the overlap.
Potential Applications
This technology could be used in surveillance systems, augmented reality applications, and robotics for accurate image synchronization.
Problems Solved
This technology addresses the challenge of synchronizing images from multiple cameras to ensure accurate data analysis and processing.
Benefits
The benefits of this technology include improved accuracy in image synchronization, leading to more precise object tracking and analysis.
Commercial Applications
- Surveillance systems for enhanced security monitoring
- Augmented reality applications for immersive user experiences
- Robotics for precise object manipulation and navigation
Prior Art
Readers can explore prior research in computer vision, image processing, and multi-camera systems to understand the evolution of image synchronization technologies.
Frequently Updated Research
Stay updated on advancements in computer vision algorithms, camera technology, and image processing techniques to enhance the capabilities of image synchronization systems.
Questions about Image Synchronization
How does image synchronization impact the accuracy of object tracking in surveillance systems?
Image synchronization plays a crucial role in ensuring precise object tracking in surveillance systems by providing accurate spatial and temporal alignment of images from multiple cameras.
What are the key challenges in achieving real-time image synchronization in augmented reality applications?
Real-time image synchronization in augmented reality applications requires efficient algorithms for rapid image processing and analysis to maintain seamless visual experiences for users.
Original Abstract Submitted
An apparatus includes one or more processors and logic encoded in one or more non-transitory media for execution by the one or more processors and when executed operable to receive a first image of an object, wherein the first image was captured by a first camera in a set of cameras. The logic is further operable to determine first keypoints and a first pose for the object based on the first image. The logic is further operable to receive a second image from a second camera in the set of cameras. The logic is further operable to determine an overlap of the first image and the second image based on locations of the first keypoints, the second keypoints, the first pose, and the second pose. The logic is further operable to determine a synchronization error between the first image and the second image based on the overlap.
