Depth Map Generation Using Reference Figures and Preliminary Action
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Solution Overview
Problem
Existing methods for generating depth maps from 2D video are time-consuming and prone to flickering issues, especially when trying to maintain consistency between image frames.
Innovation Solution
An apparatus and method that allow users to input settings for start and end points, calculate reference figures, and generate depth maps using circular, linear, cylindrical, or quadrangle reference figures, with control lines indicating depth values, enabling quick and consistent depth map creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the painting method is used to generate a depth map, then the depth map can be generated manually, but it causes flickering problem since it is difficult to generate and edit depth maps consistently between image frames
Solution Approach 1:
The system performs preliminary action by automatically generating initial depth maps for all image frames using 3D mesh methods before manual editing. This pre-processing step establishes a consistent baseline across all frames, and subsequent manual edits are applied uniformly to maintain temporal consistency, thereby preventing flickering while preserving ease of manual adjustment.
2Measurement precision
If the 3D mesh method is used to obtain a depth map manually, then the depth map can be generated, but it requires time and effort for generating a model at the beginning and editing it
Solution Approach 1:
The system performs preliminary action by automatically generating initial depth maps for all image frames using 3D mesh methods before manual editing. This pre-processing step establishes a consistent baseline across all frames, and subsequent manual edits are applied uniformly to maintain temporal consistency, thereby preventing flickering while preserving ease of manual adjustment.
Solution Approach 2:
The system creates copies of the 3D mesh model and applies it across multiple image frames. By generating a master 3D model once and then copying/replicating it across the image sequence, the system achieves consistent depth maps for all frames without requiring separate manual modeling for each frame, significantly reducing time while maintaining precision.
3Ease of operation
If manual methods are used for generating depth maps, then flexibility in editing is available, but productivity is reduced due to time-consuming processes
Solution Approach 1:
The system performs preliminary action by automatically generating initial depth maps for all image frames using 3D mesh methods before manual editing. This pre-processing step establishes a consistent baseline across all frames, and subsequent manual edits are applied uniformly to maintain temporal consistency, thereby preventing flickering while preserving ease of manual adjustment.
Solution Approach 2:
The system creates copies of the 3D mesh model and applies it across multiple image frames. By generating a master 3D model once and then copying/replicating it across the image sequence, the system achieves consistent depth maps for all frames without requiring separate manual modeling for each frame, significantly reducing time while maintaining precision.
Data Source
AI summary
An apparatus for generating a depth map includes a communication interface configured to receive video; a processor configured to generate depth map of the video according to a predetermined instruction; and a memory configured to store the instruction, wherein the instruction comprises instructions configured to perform: receiving an input to set a start point and an end point; providing a reference figure corresponding to the start point and the end point; and generating a depth map corresponding to the reference figure.