3D Object Construction from 2D Images
- Summary
- Purdue University researchers have developed a computer algorithm that takes one 2D image of a 3D object and reconstructs the object. This algorithm uses a minimal amount of data (one 2D image) to produce accurate and reliable reconstructions. Unlike other reconstruction methods, this algorithm minimizes the use of depth cues like shading, texture, motion, and stereo. Instead, reconstruction is performed using symmetry, planarity, and compactness. It is also possible to use this method with either transparent or opaque objects.
- Technology Benefits
- Uses a single 2D image Reproduces image constructions with minimal errors Tolerates noise in the original image \Requires less input information compared to previous models
- Technology Application
- 3D Object recognition 3D scene reconstruction Machine vision in manufacturing, unmanned vehicles, and robots
- Detailed Technology Description
- Zygmunt PizloViPER LabPurdue Health and Human Sciences
- Countries
- United States
- Application No.
- 8,406,567
- *Abstract
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- *Background
- Many emerging visual fields, such as medical imaging and vision-assisted robotics, use techniques to reconstruct 3D objects from 2D images. Accurate and efficient image processing is very important for producing a reliable image with image reconstruction. Many reconstruction methods require a transparent object with multiple symmetries, which limit accurate reconstruction.
- *IP Issue Date
- Mar 26, 2013
- *IP Type
- CIP-CIP
- *Stage of Development
- Prototype testing validated
- *Web Links
- Purdue Office of Technology CommercializationPurdueInnovation and EntrepreneurshipZygmunt PizloViPER LabPurdue Health and Human Sciences
- Country/Region
- USA
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