17879186. PRODUCING A DEPTH MAP FROM TWO-DIMENSIONAL IMAGES simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)
Contents
PRODUCING A DEPTH MAP FROM TWO-DIMENSIONAL IMAGES
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Vitor Guizilini of Santa Clara CA (US)
Rares A. Ambrus of San Francisco CA (US)
Dian Chen of Mountain View CA (US)
Adrien David Gaidon of Mountain View CA (US)
Sergey Zakharov of San Francisco CA (US)
PRODUCING A DEPTH MAP FROM TWO-DIMENSIONAL IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17879186 titled 'PRODUCING A DEPTH MAP FROM TWO-DIMENSIONAL IMAGES
Simplified Explanation
The patent application describes a system for producing a depth map using a processor and memory. The system includes two modules: candidate depth production module and depth map production module.
- The candidate depth production module identifies an epipolar line in a first image associated with a pixel in a second image. It then samples a set of candidate depths for pixels along the epipolar line from a first image feature set.
- The depth map production module determines the similarity measure between a feature from a second image feature set and a member of the set. It then produces the depth map from the second image, where the depth for each pixel is determined by the member of the set with the greatest similarity measure.
Potential applications of this technology:
- 3D imaging and modeling
- Augmented reality
- Virtual reality
- Autonomous navigation systems
Problems solved by this technology:
- Accurate depth map generation from images
- Efficient processing of depth information
- Overcoming limitations of traditional depth mapping techniques
Benefits of this technology:
- Improved accuracy in depth mapping
- Faster processing of depth information
- Enhanced capabilities for 3D imaging and modeling
- Better performance in augmented and virtual reality applications
Original Abstract Submitted
A system for producing a depth map can include a processor and a memory. The memory can store a candidate depth production module and a depth map production module. The candidate depth production module can include instructions that cause the processor to: (1) identify, in a first image, an epipolar line associated with a pixel in a second image and (2) sample, from a first image feature set, a set of candidate depths for pixels along the epipolar line. The depth map production module can include instructions that cause the processor to: (1) determine a similarity measure between a feature, from a second image feature set, and a member of the set and (2) produce, from the second image, the depth map with a depth for the pixel being a depth associated with a member, of the set, having a greatest similarity measure.
