[Paper Review] Conceptual and algorithmic development of Pseudo 3D Graphics and Video Content Visualization

Aladdein M. Amro, Sergey A. Zori+1 more|arXiv (Cornell University)|Feb 6, 2017

Computer Graphics and Visualization Techniques4 references3 citations

TL;DR

This paper presents a conceptual and algorithmic framework for generating pseudo 3D stereo images from 2D graphics and video content using stereo pair synthesis. It introduces algorithms for constructing standard 3D stereo frames, demonstrates experimental simulation results, and evaluates time complexity, contributing a practical approach to efficient 3D visualization without full 3D modeling pipelines.

ABSTRACT

The article presents a general concept of the organization of pseudo three dimension visualization of graphics and video content for three dimension visualization systems. The steps of algorithms for solving the problem of synthesis of three dimension stereo images based on two dimension images are introduced. The features of synthesis organization of standard format of three dimension stereo frame are presented. Moreover, the performed experimental simulation for generating complete stereoframes and the results of its time complexity are shown. Keywords:Three dimension visualization, pseudo three dimension stereo, a stereo pair, three dimension stereo format, algorithm, modeling, time complexity.

Motivation & Objective

• To develop a conceptual framework for pseudo 3D visualization of 2D graphics and video content.
• To address the challenge of synthesizing 3D stereo images from 2D inputs without full 3D modeling.
• To design and implement algorithms for generating standard 3D stereo frame formats.
• To evaluate the time complexity of the proposed stereo image synthesis process.

Proposed method

• The method employs a stereo pair generation algorithm that computes depth cues from 2D input to simulate 3D perception.
• It uses a structured approach to organize the synthesis of 3D stereo frames based on standard 3D video formats.
• The algorithm processes input images by assigning depth values to create left and right eye views.
• Time complexity is analyzed through experimental simulation of complete stereoframe generation.
• The system is implemented using standard graphics programming techniques to ensure compatibility with existing 2D content pipelines.
• The framework supports both static graphics and video content by applying depth mapping and frame-by-frame processing.

Experimental results

Research questions

• RQ1 How can 2D graphics and video content be transformed into pseudo 3D stereo images using minimal computational overhead?
• RQ2 What algorithmic structure enables consistent and efficient generation of standard 3D stereo frame formats from 2D sources?
• RQ3 What is the time complexity of the proposed stereo image synthesis pipeline for real-time or near-real-time applications?
• RQ4 How does the depth assignment strategy affect the perceptual quality of the resulting pseudo 3D output?
• RQ5 Can the proposed method be generalized across diverse 2D content types without requiring 3D model reconstruction?

Key findings

• The proposed algorithm successfully generates complete stereoframes from 2D inputs using a systematic stereo pair synthesis process.
• Experimental simulations confirm the feasibility of the method for both static images and video sequences.
• The time complexity of the algorithm is quantitatively evaluated, showing scalable performance for practical deployment.
• The method supports standard 3D stereo formats, enabling compatibility with existing 3D display systems.
• The framework demonstrates that pseudo 3D visualization can be achieved without full 3D modeling, reducing computational and authoring overhead.
• The results indicate that depth-based 2D-to-3D conversion is viable for real-world applications in graphics and video content delivery.