18273258. IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM simplified abstract (NEC Corporation)
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 18273258 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM
The patent application focuses on determining 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.
- Recognition of area class of each pixel in a captured image
- Acquisition of range information for pixels in the vehicle area class
- Identification of boundaries between different vehicles based on discontinuities in range information
- Utilization of depth map information to determine pixel area classes
- Improved understanding of spatial relationships within captured images
Potential Applications: - Autonomous driving systems - Object detection in computer vision - Augmented reality applications - Robotics and navigation systems
Problems Solved: - Accurate classification of pixels in captured images - Enhanced object recognition and segmentation - Improved spatial awareness in image processing tasks
Benefits: - Increased precision in identifying vehicle boundaries - Enhanced performance of automated systems - Improved safety and efficiency in various applications
Commercial Applications: Title: "Enhanced Object Recognition Technology for Autonomous Systems" This technology can be applied in autonomous vehicles, surveillance systems, and industrial automation for improved object detection and spatial understanding. The market implications include increased demand for advanced computer vision solutions in various industries.
Questions about the technology: 1. How does this technology improve object recognition in computer vision applications? 2. What are the potential challenges in implementing this technology in autonomous driving systems?
Frequently Updated Research: Stay updated on advancements in computer vision algorithms and depth sensing technologies for potential improvements in object recognition and spatial understanding applications.
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.
