Multi-Lens Imaging Control to Prevent PIP Object Overlap
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Solution Overview
Problem
Existing imaging systems with multiple lenses suffer from overlapping of captured images in picture-in-picture mode, leading to reduced visibility and requiring manual intervention by the photographer to adjust camera angles and views, which distracts from the imaging or distribution process.
Innovation Solution
An electronic apparatus with multiple lenses of different angles of view automatically detects objects and adjusts the superimposed images to prevent overlap by switching to wider-angle lenses or changing the image extraction region, ensuring the object and superimposed image regions do not overlap.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If picture-in-picture mode is used to display multiple captured images, then imaging functionality is improved, but visibility of the object deteriorates when the PIP window overlaps with the object
Solution Approach 1:
The system performs preliminary object detection and overlap prediction before finalizing the PIP image composition. By detecting the object region in advance and predicting potential overlaps, the system can proactively adjust the PIP window position or switch lenses to prevent visibility deterioration, rather than reacting after overlap occurs.
Solution Approach 2:
The system dynamically adjusts the PIP window position, size, and lens selection based on real-time object detection results. When overlap is detected, the system automatically modifies imaging parameters such as changing the PIP window location or switching between lenses with different angles of view to maintain optimal visibility.
2Object-affected harmful factors
If the PIP window position is adjusted to avoid overlap, then visibility is improved, but the photographer must manually suspend recording and change camera angle
Solution Approach 1:
The system performs self-adjustment by automatically detecting objects and modifying PIP window parameters without requiring photographer intervention. The automated object detection and overlap prediction systems enable the camera to self-correct positioning issues, eliminating the need for manual suspension of recording and automatic camera angle changes.
Solution Approach 2:
The system implements a feedback loop where object detection results are continuously monitored and fed back into the image processing system. This feedback mechanism automatically triggers PIP window repositioning or lens switching when overlap is detected, creating a closed-loop system that continuously optimizes visibility without manual input.
3Measurement precision
If zoom magnification is changed to narrow angle of view, then object imaging is improved, but PIP window and object overlap increases
Solution Approach 1:
The system performs preliminary overlap prediction by detecting the object region and calculating potential PIP window positions before finalizing the image composition. This advance planning allows the system to anticipate overlap issues that arise from zoom changes and pre-adjust parameters to prevent deterioration.
Solution Approach 2:
The system dynamically changes multiple imaging parameters simultaneously, including PIP window position, size, lens selection, and zoom level, based on the detected object characteristics. By coordinating adjustments across multiple parameters rather than changing them independently, the system maintains optimal imaging quality while preventing overlap.
Data Source
AI summary
An electronic apparatus including a plurality of lenses acquires a first captured image captured using a first lens, acquires a second captured image captured using a second lens, acquires a third captured image captured using a third lens, superimposes the second captured image on the first captured image, detects an object from the first captured image, generates a combined image where the second captured image is superimposed on the first captured image in a case where a region of the detected does not overlap with a region where the second captured image is superimposed, and generates a combined image where the second captured image is superimposed on the third captured image in a case where the region of the detected object overlaps with the region where the second captured image is superimposed.