3D Conversation System Spatial Rendering Pipeline
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Solution Overview
Problem
Existing video conferencing technologies fail to replicate the richness of in-person interactions due to limitations in capturing and displaying 3D body language and spatial movements, leading to a lack of immersion and increased distraction from intrusive technology.
Innovation Solution
A 3D conversation system that utilizes a pipeline of data processing stages, including calibration, capture, tagging, compression, decompression, reconstruction, rendering, and display, to create a 3D representation of participants and render it in real-time from the perspective of the receiving user, enhancing the perception of in-person communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If 2D video conferencing is used, then device complexity is reduced, but the ability to capture and display 3D body language and spatial movements deteriorates
Solution Approach 1:
The patent transitions from 2D video conferencing to 3D spatial representation by capturing depth information and rendering participants in three-dimensional space. This allows users to move around participants and view them from different angles, preserving 3D body language and spatial movements that are lost in traditional 2D video calls.
Solution Approach 2:
The system creates a 3D copy or representation of each participant using depth data and visual information. These digital avatars replicate the participant's physical appearance, body language, and spatial position, allowing remote users to interact with accurate 3D representations rather than flat 2D images.
2Device complexity
If fixed camera viewpoint is used, then device complexity is reduced, but the ability to move relative to participants deteriorates
Solution Approach 1:
The patent implements dynamic camera viewpoints where users can freely move and rotate to different positions and angles. Instead of a fixed camera perspective, the system renders participants from the user's current spatial position, allowing dynamic interaction and movement relative to each participant in the conversation.
Solution Approach 2:
The system adds spatial freedom by enabling movement in three-dimensional space rather than being constrained to a single 2D viewing angle. Users can walk around participants, change perspectives, and interact with the conversation from multiple spatial positions simultaneously.
3Reliability
If 3D representation is implemented, then the perception of in-person communication is improved, but computational requirements increase
Solution Approach 1:
The patent divides the 3D representation task into separate processing stages: capturing depth data, generating 3D models, rendering from different viewpoints, and displaying the result. This segmentation allows each component to be optimized independently and enables progressive rendering at different quality levels based on computational resources available.
Solution Approach 2:
The system adjusts rendering parameters such as resolution, frame rate, and 3D model detail levels based on available computational resources and network conditions. This allows high-quality 3D representations when computational power is available while degrading gracefully to lower quality when resources are constrained.
4Device complexity
If flat panel display is used, then device complexity is reduced, but immersion and distraction from technology increase
Solution Approach 1:
The patent transitions from 2D flat panel displays to 3D spatial display environments. Participants appear as true 3D avatars that can be viewed from multiple angles and positioned in virtual space, creating an immersive experience that eliminates the intrusive flat screen barrier and reduces technological distraction during communication.
Data Source
AI summary
A 3D conversation system can facilitate 3D conversations in an augmented reality environment, allowing conversation participants to appear as if they are face-to-face. The 3D conversation system can accomplish this with a pipeline of data processing stages, which can include calibrate, capture, tag and filter, compress, decompress, reconstruct, render, and display stages. Generally, the pipeline can capture images of the sending user, create intermediate representations, transform the representations to convert from the orientation the images were taken from to a viewpoint of the receiving user, and output images of the sending user, from the viewpoint of the receiving user, in synchronization with audio captured from the sending user. Such a 3D conversation can take place between two or more sender/receiving systems and, in some implementations can be mediated by one or more server systems. In various configurations, stages of the pipeline can be customized based on a conversation context.