Object detection and segmentation in cluttered scenes through - - PowerPoint PPT Presentation

object detection and segmentation in cluttered scenes
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Object detection and segmentation in cluttered scenes through - - PowerPoint PPT Presentation

Object detection and segmentation in cluttered scenes through perception and manipulation Julius Adorf 27.07.2011 Resolving a cluttered scene - Problem Resolving a cluttered scene - Challenge Demo video


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Object detection and segmentation in cluttered scenes through perception and manipulation

Julius Adorf 27.07.2011

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Resolving a cluttered scene - Problem

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Resolving a cluttered scene - Challenge

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Demo video

http://www.youtube.com/watch?v=60bs-lSDgeU

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Starting with ROS packages

◮ Textured Object Detection (TOD) stack ◮ by Willow Garage ◮ very experimental ◮ Solutions in Perception Challenge, ICRA 2011 ◮ http://www.ros.org/wiki/tod detecting ◮ http://www.ros.org/wiki/tod training

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Selecting the approach

  • 4. Ranking, refinement, rejection
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Describing local features - Oriented BRIEF (ORB)

“Oriented BRIEF = FAST + Harris Response + modified BRIEF”

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Matching local features - Locality-Sensitive-Hashing (LSH)

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Estimating poses - Random Sample Consensus

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Making the system robust

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Finding good parameters

◮ factorial design intractable; 5 levels, 10 parameters:

510 ≈ 106.

◮ success if errors less than 3cm and 20 degrees ◮ LSH does not decrease success rate ◮ 80% success on validation set

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Evaluating the results - Many

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Evaluating the results - Duplicates

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Evaluating the results - Clutter

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Future work

In-hand modelling Ground truth collection for cluttered scenes Evaluation of Willow’s announced replacement of tod * Incorporate feature uncertainty Include 3D information

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