Robert bosch gmbh (20240135569). METHOD FOR PARAMETERIZING A SCENE simplified abstract
Contents
- 1 METHOD FOR PARAMETERIZING A SCENE
METHOD FOR PARAMETERIZING A SCENE
Organization Name
Inventor(s)
Matthias Wacker of Hildesheim (DE)
Michael Kessler of Diekholzen (DE)
Bjoern Scheuermann of Sarstedt (DE)
Johann Maas of Bad Salzdetfurth (DE)
Martin Mechelke of Bovenden (DE)
Omar Alaa Ei-din of Hannover (DE)
Steffen Brueggert of Hildesheim (DE)
METHOD FOR PARAMETERIZING A SCENE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135569 titled 'METHOD FOR PARAMETERIZING A SCENE
Simplified Explanation
The abstract describes a method for parameterizing a scene with objects using a camera. The method involves producing an image of the scene, recognizing objects in the image, estimating object sizes, calculating probabilities, and determining a scene probability.
- Using a camera to capture an image of a scene with objects
- Recognizing and classifying objects in the image
- Estimating object sizes based on surface parameters
- Calculating individual probabilities for object sizes
- Determining a scene probability from individual probabilities
Potential Applications
This technology could be applied in various fields such as computer vision, robotics, surveillance, and augmented reality.
Problems Solved
This technology solves the problem of accurately estimating object sizes in a scene without direct measurements.
Benefits
The benefits of this technology include improved object recognition, scene analysis, and decision-making based on calculated probabilities.
Potential Commercial Applications
Potential commercial applications of this technology include automated quality control in manufacturing, object tracking in security systems, and virtual fitting rooms in retail.
Possible Prior Art
One possible prior art could be related to object recognition and size estimation algorithms used in computer vision and image processing.
What are the specific surface parameters used for estimating object sizes in the method described in the abstract?
The specific surface parameters used for estimating object sizes in the method described in the abstract are not explicitly mentioned. However, it can be inferred that these parameters are related to the characteristics of the surface on which the objects are placed.
How does the method calculate individual probabilities for object sizes?
The method calculates individual probabilities for object sizes by evaluating the image data, recognizing the objects, estimating their sizes, and determining the likelihood of each object having the estimated size.
Original Abstract Submitted
a method for parameterizing a scene having a surface, on which at least two objects are disposed, using a camera disposed at a distance from the objects. the method includes: a) using the camera, producing an image of the scene, the image containing image data regarding the objects; b) recognizing at least two objects in the image by evaluation of the image data and assigning each recognized object to a specific object class; c) estimating an object size of each of the at least two recognized objects in accordance with at least one surface parameter characterizing the surface; d) for each of the at least two objects: calculating an individual probability that the object has the object size estimated in measure c); e) calculating a scene probability from the at least two calculated individual probabilities.
