Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement

10/07/2020
by   Fangbo Qin, et al.
0

Image contour based vision measurement is widely applied in robot manipulation and industrial automation. It is appealing to realize object-agnostic vision system, which can be conveniently reused for various types of objects. We propose the contour primitive of interest extraction network (CPieNet) based on the one-shot learning framework. First, CPieNet is featured by that its contour primitive of interest (CPI) output, a designated regular contour part lying on a specified object, provides the essential geometric information for vision measurement. Second, CPieNet has the one-shot learning ability, utilizing a support sample to assist the perception of the novel object. To realize lower-cost training, we generate support-query sample pairs from unpaired online public images, which cover a wide range of object categories. To obtain single-pixel wide contour for precise measurement, the Gabor-filters based non-maximum suppression is designed to thin the raw contour. For the novel CPI extraction task, we built the Object Contour Primitives dataset using online public images, and the Robotic Object Contour Measurement dataset using a camera mounted on a robot. The effectiveness of the proposed methods is validated by a series of experiments.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 7

05/07/2004

A New Computational Framework For 2D Shape-Enclosing Contours

In this paper, a new framework for one-dimensional contour extraction fr...
01/18/2021

Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias

It is widely accepted that reasoning about object shape is important for...
01/25/2000

A Parallel Algorithm for Dilated Contour Extraction from Bilevel Images

We describe a simple, but efficient algorithm for the generation of dila...
07/15/2020

ContourRend: A Segmentation Method for Improving Contours by Rendering

A good object segmentation should contain clear contours and complete re...
04/14/2020

Walk the Lines: Object Contour Tracing CNN for Contour Completion of Ships

We develop a new contour tracing algorithm to enhance the results of the...
04/21/2008

Technical Report - Automatic Contour Extraction from 2D Neuron Images

This work describes a novel methodology for automatic contour extraction...
12/14/2016

CoPaSul Manual - Contour-based parametric and superpositional intonation stylization

The purposes of the CoPaSul toolkit are (1) automatic prosodic annotatio...