Nec corporation (20240312220). IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM simplified abstract
Contents
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM
Organization Name
Inventor(s)
Yoshihiro Mishima of Tokyo (JP)
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240312220 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM
The patent application focuses on recognizing the area class of each pixel in a captured image based on depth map information. Specifically, it acquires range information for pixels representing a vehicle area class and identifies boundaries between different vehicles based on discontinuities in the range information.
- The technology identifies the area class of each pixel in a captured image using depth map information.
- It specifically focuses on acquiring range information for pixels representing a vehicle area class.
- The innovation involves determining boundaries between different vehicles based on discontinuities in the range information.
- This approach allows for precise recognition of vehicle boundaries in images, improving object detection and segmentation.
- The technology can be applied in various fields such as autonomous driving, surveillance, and image processing.
Potential Applications: - Autonomous driving systems for accurate object detection - Surveillance systems for improved monitoring and tracking of vehicles - Image processing applications for enhanced segmentation and analysis
Problems Solved: - Accurate identification of vehicle boundaries in captured images - Improved object detection and segmentation in complex scenes - Enhanced image processing capabilities for various applications
Benefits: - Increased accuracy in recognizing vehicle boundaries - Improved performance of object detection algorithms - Enhanced image segmentation for better analysis and understanding
Commercial Applications: Title: Advanced Object Detection Technology for Autonomous Vehicles This technology can be utilized in autonomous vehicles for precise object detection, in surveillance systems for enhanced monitoring capabilities, and in image processing software for improved segmentation and analysis. The market implications include increased efficiency in autonomous driving systems, better surveillance solutions, and enhanced image processing tools.
Questions about the technology: 1. How does this technology improve object detection in images? 2. What are the potential applications of this technology in autonomous driving systems?
Original Abstract Submitted
among multiple different area classes designated regarding photographic subjects, to which area class a photographic subject of each pixel in a captured image that has been acquired belongs is recognized. from depth map information corresponding to the captured image, range information of each pixel in an area in the captured image representing a vehicle area class among the multiple different area classes is acquired, and a position at which the range information is discontinuous is determined to be a boundary between different vehicles.
