Detecting Corners for 3D Objects

2011 ◽  
Vol 1 (4) ◽  
pp. 59-68
Author(s):  
Misbah Irshad ◽  
Irfa Elahi ◽  
Malik Zawwar Hussain
Keyword(s):  
Detection Algorithm ◽  
Corner Detection ◽  
Detection Scheme ◽  
3D Objects

In this paper, a corner detection algorithm for 3D objects is presented. This algorithm is an extension of corner detection scheme for planar objects (Chetrikov & Zsabo, 1999). This algorithm finds corners and other high curvature points for 3D objects.

Detecting Corners for 3D Objects

2013 ◽  
pp. 272-280
Author(s):  
Misbah Irshad ◽  
Irfa Elahi ◽  
Malik Zawwar Hussain
Keyword(s):  
Detection Algorithm ◽  
Corner Detection ◽  
Detection Scheme ◽  
3D Objects

In this paper, a corner detection algorithm for 3D objects is presented. This algorithm is an extension of corner detection scheme for planar objects (Chetrikov & Zsabo, 1999). This algorithm finds corners and other high curvature points for 3D objects.

scholarly journals Augmented Reality Pengenalan Huruf dan Angka Arab Menggunakan Metode Marker Based Tracking Berbasis Android

2020 ◽  
Vol 4 (1) ◽  
pp. 14
Author(s):  
Maurizka Zahra Devita ◽  
Septi Andryana ◽  
Deny Hidayatullah
Keyword(s):  
Augmented Reality ◽  
Detection Algorithm ◽  
Corner Detection ◽  
System Testing ◽  
3D Objects ◽  
Unity 3D ◽  
The Media ◽  
Testing Algorithms ◽  
Augemented Reality ◽  
Validation Testing

Hijaiyah letters are Arabic letters that are in the Koran which are studied by Muslims. Number of Hijaiyah Letters which are generally known to total 30 letters. This study aims to provide an introduction hijaiyah letters, Arabic numerals and alphabets on android smartphone by applying Augmented Reality with the media guide as a marker emergence marker object so that learning becomes more attractive. From previous research, things that have been discussed are only introduces the application Augemented Reality hijaiyah and Alphabet letters using a media card with a distance of 30 cm recommendations and recommendations 600-900 corner. This application is built using the Unity 3D, Vuforia SDK with FAST Corner Detection algorithm and 3D objects created using Blender. This application uses the marker method used to determine the point of emergence of 3D objects. The results of validation testing concluded if all valid system. Testing algorithms with the point x1, y1, x2 and y2, condition of the camera to the marker on the distance is 50 cm at an angle of 450 and a distance of 50 cm - 60 cm at an angle of 900.

scholarly journals Aplikasi Augmented Reality (AR) dengan Metode Marker Based sebagai Media Pengenalan Hewan Darat pada Anak Usia Dini menggunakan Algoritma Fast Corner Detection (FCD)

2020 ◽  
Vol 4 (2) ◽  
pp. 56
Author(s):  
Adryan Syahputra ◽  
Septi Andryana ◽  
Aris Gunaryati
Keyword(s):  
Educational Technology ◽  
Early Childhood ◽  
Augmented Reality ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Technological Equipment ◽  
Tracking Method ◽  
3D Objects ◽  
Augmented Reality Application ◽  
Augmented Reality Technology

Education in children is not only learning from books, with the development of educational technology it can be done using technological equipment such as computers, smartphones, or gadgets. The use of the Augmented reality application can be used as an example in learning in early childhood by introducing land animals in 3D. This study aims to provide education, especially to children, about the introduction of land animals by utilizing augmented reality technology. This research uses a marker-based tracking method and a fast corner detection algorithm. The results of the study resulted in an application that contained the introduction of land animals consisting of dogs, horses, kangaroos, cats, wolves, elephants, deer, camels, giraffes, and cows. Brief information about each animal, designed to be as attractive as possible for children. Applications can run on the Android operating system.Keywords:Augmented reality, 3D Objects, Marker Based, Fast corner detection.

An Improved Corner Detection Algorithm Based on Harris

2018 ◽  
Author(s):  
Songqi Han ◽  
Weibo Yu ◽  
Hongtao Yang ◽  
Shicheng Wan
Keyword(s):  
Detection Algorithm ◽  
Corner Detection

Improved corner detection algorithm based on SUSAN principle

2007 ◽  
Author(s):  
Desen Yin ◽  
Yuejin Zhao ◽  
Bin Wang ◽  
Qian Song ◽  
Rongrong Cheng
Keyword(s):  
Detection Algorithm ◽  
Corner Detection

scholarly journals A Corner Detection Algorithm Based on Regional Center of Mass in Imaging through Water Surface

2021 ◽  
Vol 2083 (3) ◽  
pp. 032090
Author(s):  
Changli Mai ◽  
Bijian Jian ◽  
Yongfa Ling
Keyword(s):  
Water Surface ◽  
Center Of Mass ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Random Fluctuation ◽  
False Detection ◽  
Detection Algorithms ◽  
Regional Center ◽  
Underwater Environment ◽  
Active Imaging

Abstract Structural light active imaging can obtain more information about the target scene, which is widely used in image registration,3D reconstruction of objects and motion detection. Due to the random fluctuation of water surface and complex underwater environment, the current corner detection algorithm has the problems of false detection and uncertainty. This paper proposes a corner detection algorithm based on the region centroid extraction. Experimental results show that, compared with the traditional detection algorithms, the proposed algorithm can extract the feature point information of the image in real time, which is of great significance to the subsequent image restoration.

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