Tolerance for translation disturbances of template-matching two-dimensional modulation code for holographic memories

2010 ◽  
Vol 49 (8) ◽  
pp. 085803 ◽  
Author(s):  
Masakatsu Senda
Keyword(s):  
Template Matching ◽  
Two Dimensional ◽  
Holographic Memories ◽  
Modulation Code

Two-Dimensional Image Based Product Connector Recognition for Robotic Disassembly in Remanufacturing

2021 ◽  
Author(s):  
Yang Hu ◽  
Yalin Wang ◽  
Feng Xu ◽  
Bitao Yao ◽  
Wenjun Xu ◽  
...  
Keyword(s):  
Template Matching ◽  
Search Strategy ◽  
Feature Matching ◽  
Resource Conservation ◽  
Recognition Algorithm ◽  
Two Dimensional ◽  
Crucial Step ◽  
Two Dimensional Image ◽  
Disassembly Process ◽  
Robotic Disassembly

Abstract Remanufacturing has received increasing attention for environmental protection and resource conservation considerations. Disassembly is a crucial step in remanufacturing, is always done manually which is inefficient while robotic disassembly can improve the efficiency of the disassembly. Aiming at the problem of product connector recognition during the robotic disassembly process, we analyze the template matching and feature matching principles based on two-dimensional images. To reduce the computational complexity of traditional template matching, a stepwise search strategy combining coarse and fine is proposed. Based on this a product connector recognition algorithm based on fast template matching and a product connector recognition algorithm based on feature matching is designed. Taking bolts and hexagon nuts as examples, the recognition effects of the two algorithms are compared and analyzed.

scholarly journals Feasibility Study of Textureless Object Detection and Pose Estimation Based on a Model with 3D Edgels and Surfaces

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Kimitoshi Yamazaki ◽  
Kiyohiro Sogen ◽  
Takashi Yamamoto ◽  
Masayuki Inaba
Keyword(s):  
Object Detection ◽  
Feasibility Study ◽  
Pose Estimation ◽  
Template Matching ◽  
Input Data ◽  
Three Dimensional ◽  
Target Object ◽  
Textural Features ◽  
Two Dimensional ◽  
Home Appliances

Abstract This paper describes a method for the detection of textureless objects. Our target objects include furniture and home appliances, which have no rich textural features or characteristic shapes. Focusing on the ease of application, we define a model that represents objects in terms of three-dimensional edgels and surfaces. Object detection is performed by superimposing input data on the model. A two-stage algorithm is applied to bring out object poses. Surfaces are used to extract candidates fromthe input data, and edgels are then used to identify the pose of a target object using two-dimensional template matching. Experiments using four real furniture and home appliances were performed to show the feasibility of the proposed method.We suggest the possible applicability in occlusion and clutter conditions.

scholarly journals Sequential and indexed two-dimensional combinatorial template matching allowing rotations

2005 ◽  
Vol 347 (1-2) ◽  
pp. 239-275 ◽  
Author(s):  
Kimmo Fredriksson ◽  
Gonzalo Navarro ◽  
Esko Ukkonen
Keyword(s):  
Template Matching ◽  
Two Dimensional
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