Video Processing Apparatus for Accurate Mask Superimposition

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional imaging systems face challenges in accurately superimposing a mask image on a designated area when projecting from spherical coordinates to a flat plane, leading to distorted areas and requiring significant time and labor for adjustments, especially when the imaging direction is fixed or changed.

Innovation Solution

A video processing apparatus with an identifying unit, display control unit, superimposing unit, and calculation unit that calculates mean x and y coordinate values of the mask area's vertices, allowing the mask image to be superimposed in a way that aligns with the midpoint of the mask image on the xy coordinate plane, ensuring accurate coverage without increasing labor or time for mask area settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If the imaging direction is adjusted to bring the center of the imaging area into coincidence with the center of the mask area, then the mask area can be set at the central region of the screen, but the imaging direction must be changed each time when the mask area setting is performed, requiring significant time and labor

Engineering Contradiction:
Improvemask area positioning accuracyVSAvoidtime and labor for mask area setting
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent replaces the mechanical adjustment of imaging direction with a computational coordinate transformation system. The coordinate transformation unit converts mask area coordinates from spherical coordinates to xy plane coordinates, eliminating the need for physical camera repositioning while maintaining accurate mask area positioning on the screen

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the coordinate system parameters from spherical coordinates to xy plane coordinates through mathematical transformation. This parameter change allows the mask area to be accurately positioned without physically changing the imaging direction, thus reducing time and labor while maintaining positioning precision

Inventive Principle:
Principle #35Parameter changes

2Area of stationary object

If the mask area is set in spherical coordinates and projected on a flat plane, then the mask area can cover the desired region, but the projected area becomes distorted

Engineering Contradiction:
Improvemask area coverageVSAvoidmask area distortion
Core Design Contradiction:
Area of stationary objectVSShape

Solution Approach 1:

The patent uses coordinate transformation mathematics to replace the geometric projection process that causes distortion. By transforming coordinates computationally rather than projecting geometrically, the mask area maintains its shape while covering the desired region on the flat screen

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent applies parameter transformation from spherical coordinates (r, θ, φ) to xy plane coordinates through mathematical equations. This transformation preserves the relative positions and shapes of mask area boundaries while enabling accurate coverage of the target region on the flat display surface

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS8937676B2Video processing apparatus, imaging apparatus, video processing method, and storage medium
Publication Date: 2015.01.20 CANON KK
  • US8937676B2 patent drawing
  • US8937676B2 patent drawing
  • US8937676B2 patent drawing

AI summary

A video processing method includes calculating mean values with respect to x coordinate value and y coordinate value of vertices that define a corresponding area, which is obtained when a designated area in spherical coordinates is projected on an xy coordinate plane that represents a captured image, and superimposing a mask image R on the captured image in such a way as to bring a point G having an x coordinate value and a y coordinate value identical to the calculated mean values with respect to the x coordinate value and the y coordinate value into coincidence with a point defined by a midpoint in the height direction and a midpoint in the width direction of the mask image.