In the context of computer vision, the monocular depth estimation problem can be defined as inferring the depth order of the objects present in a scene using only information from a single camera (an image or a video sequence). 

The technology allows to extract depth information at low-level, so that no knowledge or understanding on the image content is required.  It is based on a mathematical model that encodes, in a quantitative manner, perceptual depth cues at different scales such as convexity/concavity, inclusion, and T-junctions, leading to an interpretation that is consistent with the perception of the human visual system. The model can be easily interpreted and tuned according to a specified visual response.

  • Accurate, robust to noise, and temporally consistent dense maps of relative depth, while not compromising the performance of the whole system.
  • Efficient (pyramidal) implementation, easy video extension, simple configuration, and fast performance.
  • Significantly outperforming state-of-the-art approaches in accuracy and efficiency.

Market ooportunities in high level applications in media, entertainment, security, telecommunications: object detection and recognition, conversion of 2D video content to 3D, multi-camera view generation or interpolation, video editing, advertisement insertion in video content, or seamless visual effects.

Ref: TEC-0071
 

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