Depth Perception Animation From Single Image Layers
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Solution Overview
Problem
Conventional digital image formats often lose important contextual information and fail to capture scenes in optimal settings, resulting in static images appearing unappealing and lacking depth perception.
Innovation Solution
A computer-implemented method generates animations with a perception of real depth by receiving an input image, creating layers of processed images, and using variable masks to superimpose these layers, simulating camera movements and changing perspectives to create composite frames that enhance visual effects and depth perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional digital image formats are used to store and display images, then the images can be easily stored and transmitted, but important contextual information is lost and the images lack depth perception
Solution Approach 1:
The patent divides a single image into multiple layers representing different depth planes. Each layer contains specific depth information extracted through image processing, allowing contextual information to be preserved and reconstructed in animated form without requiring complex multi-image storage formats.
Solution Approach 2:
The patent transforms a two-dimensional static image into a multi-layered depth representation that simulates three-dimensional space. By creating layers at different depth positions and animating their superposition, the system recovers contextual information about scene depth and spatial relationships.
2Ease of operation
If static images are displayed directly, then the display process is simple and fast, but the images appear unappealing and lack visual engagement
Solution Approach 1:
The patent transforms static images into dynamic animations by sequentially displaying multiple layers at different depth positions. The layers are superimposed with varying transparency and positioned at different depths, creating a dynamic visual effect that maintains viewer engagement while starting from a simple static image input.
Solution Approach 2:
The patent applies visual transformations to layers including adjustments to transparency, brightness, and color saturation. These visual modifications enhance the perceived depth and visual appeal of the animation while maintaining the simplicity of the original image input.
3Loss of information
If multiple images are captured to represent different perspectives, then depth perception can be improved, but the complexity of image processing and data management increases
Solution Approach 1:
The patent extracts depth information from a single image by segmenting it into multiple layers representing different depth planes. This avoids the need to capture and process multiple images from different perspectives, reducing data management complexity while preserving depth information.
Solution Approach 2:
The patent creates multiple copies of the same image at different processing stages, applying different depth-related transformations to each copy. These processed copies are then combined into layers that represent different depth planes, achieving depth perception without requiring multiple original images.
Data Source
AI summary
The disclosure is related to systems and methods for generating an animation with a perception of real depth from one or more images. In some embodiments, a computing server may receive an input image. The input image captures a scene. The computing server may generate a set of layers of images, which may include one or more processed images. A processed image may be a version of the input image. The computing server may generate one or more variable masks that are used for a superposition of the set of layers. The variable masks may include a plurality of regions specifying different compositions of the layers in the superposition. The computing server may generate an animation of the scene from the set of layers. The animation may include a composite frame generated from the set of layers of images superimposed according to the variable masks.