Title :
AR jigsaw puzzle with RGB-D based detection of texture-less pieces
Author :
Lima, Joao Paulo ; Teixeira, Joao Marcelo ; Teichrieb, Veronica
Author_Institution :
DEINFO-UFRPE, Brazil
fDate :
March 29 2014-April 2 2014
Abstract :
This demo presents an AR application that helps the user to solve a jigsaw puzzle that consists of non-textured pieces with a discriminative shape. The pieces are detected, their poses are estimated and the ones that are correctly assembled are highlighted. In order to detect the pieces, the Depth-Assisted Rectification of Contours (DARC) method is used, which performs detection and pose estimation of texture-less planar objects using an RGB-D camera.
Keywords :
augmented reality; image colour analysis; image texture; object detection; pose estimation; AR jigsaw puzzle; DARC method; RGB-D based detection; RGB-D camera; depth-assisted rectification of contours method; nontextured pieces; pose estimation; texture-less pieces; texture-less planar object; Augmented reality; Estimation; Laboratories; Object detection; Shape; Three-dimensional displays; Jigsaw puzzles; RGB-D cameras; augmented reality; pose estimation; texture-less objects;
Conference_Titel :
Virtual Reality (VR), 2014 iEEE
Conference_Location :
Minneapolis, MN
DOI :
10.1109/VR.2014.6802109
