scholarly journals 3D-modeling of Augmented Reality objects using Shi-Tomasi corner detection algorithms

2021 ◽  
Vol 2091 (1) ◽  
pp. 012058
Author(s):  
O M Demidenko ◽  
N A Aksionova ◽  
A V Varuyeu ◽  
A I Kucharav
Keyword(s):  
Augmented Reality ◽  
3D Modeling ◽  
Three Dimensional ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Accurate Data ◽  
Software Module ◽  
Detection Algorithms ◽  
Construction Documents

Abstract This article covers development of the Python-based software module for Blender 3D, as well as it covers research of Shi-Tomasi corner detection algorithm using the developer’s construction documents. The corners detected may be used for further three - dimensional modelling, replanting not requiring adjustment of the construction documents, or may be used for retrieval of the accurate data.

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.

Three-Dimensional Modelling for Cultural Heritage

2021 ◽  
pp. 418-443
Author(s):  
Luis Marques ◽  
Josep Roca
Keyword(s):  
Augmented Reality ◽  
3D Modeling ◽  
Three Dimensional ◽  
Human Perception ◽  
3D Models ◽  
3D Modelling ◽  
Digital Archives ◽  
Spatial Environment ◽  
The City ◽  
Model Visualization

The creation of 3D models of urban elements is extremely relevant for urbanists constituting digital archives and being especially useful for enriching maps and databases or reconstructing and analyzing objects/areas through time, building/recreating scenarios and implementing intuitive methods of interaction. The widespread data available online offer new opportunities to generate realistic 3D models without the need to go physically to the place. This chapter aims to demonstrate the potential 3D modeling and visualization/interaction of urban elements in the city for multiple purposes, and it is organized in four main topics: The first deals with the theoretical framework regarding the bases of the human perception of the spatial environment and the importance of 3D modelling. The second and third deal with technical procedures on terrestrial/aerial data acquisition and demonstrate alternatively data gathered online to generate 3D models for the visualization of urban elements of the city, and the fourth introduces 3D model visualization within an augmented reality environment.

scholarly journals An Improvement to a Class of Intensity based Spatial Domain Corner Detection Algorithms using Image Fission and Fusion

2019 ◽  
Vol 9 (2) ◽  
pp. 924-930
Keyword(s):  
Information Gain ◽  
Binary Classification ◽  
Real Life ◽  
Detection Algorithm ◽  
Spatial Domain ◽  
Corner Detection ◽  
Computational Time ◽  
Detection Algorithms ◽  
Bit Plane ◽  
Bit Planes

Corners of an object are important as features for the representation and analysis of its shape in computer vision. Corner detection, particularly in real scenes, is still a challenge. Most of the corner detectors found in the literature generate a number of false corners, which is not acceptable in real-life applications. In this paper, an improvement to a class of corner detection algorithms is presented using image fission/fusion. In this approach, a grayscale image is first divided into several bit-planes. A corner detector is applied on all the bit-planes simultaneously and a threshold (bitplane) is obtained using the concept of information gain. Finally, all the higher bit-plane corners are recombined (up to some thresholded bit-plane) to obtain the final set of corners. Here the corner detection algorithm is considered as a binary classification problem. Experimental results show that this improved approach reduces the number of erroneous corner detection relative to existing spatial domain corner detection algorithms. The improvements are established with the help of a number of performance measures proposed by various researchers. The proposed approach works better with respect to computational time also. This approach can easily be utilized in different low-level image processing applications.

Research of Corner Detection Algorithm with Stack Volume Measurement

2012 ◽  
Vol 508 ◽  
pp. 271-274
Author(s):  
Peng Xin Zhang ◽  
Wei Min Yang ◽  
Chun Chen
Keyword(s):  
Three Dimensional ◽  
Volume Measurement ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Corner Detection ◽  
Three Dimensional Reconstruction ◽  
Dimensional Reconstruction

In this paper, the comparation and analysis of the conner detection algorithm used in the three-dimensional reconstruction were made .Also the improvement and optimization to the parameters of harris algorithm were done. It is concluded that the hariis algorithm improved had a better effect ,simpler operation and better stability in the measurement of material stack volume measurement through the experimental results.

scholarly journals A Vertex Concavity-Convexity Detection Method for Three-Dimensional Spatial Objects Based on Geometric Algebra

2020 ◽  
Vol 9 (1) ◽  
pp. 25
Author(s):  
Pengcheng Yin ◽  
Jiyi Zhang ◽  
Xiying Sun ◽  
Di Hu ◽  
Zhifeng Shi ◽  
...  
Keyword(s):  
Geometric Algebra ◽  
Detection Method ◽  
Three Dimensional ◽  
Detection Algorithm ◽  
Basic Algorithm ◽  
Outer Product ◽  
Spatial Objects ◽  
Detection Algorithms ◽  
Product Operation ◽  
Object Based

Vertex concavity-convexity detection for spatial objects is a basic algorithm of computer graphics, as well as the foundation for the implementation of other graphics algorithms. In recent years, the importance of the vertex concavity-convexity detection algorithm for three-dimensional (3D) spatial objects has been increasingly highlighted, with the development of 3D modeling, artificial intelligence, and other graphics technologies. Nonetheless, the currently available vertex concavity-convexity detection algorithms mostly use two-dimensional (2D) polygons, with limited research on vertex concavity-convexity detection algorithms for 3D polyhedrons. This study investigates the correlation between the outer product and the topology of the spatial object based on the unique characteristic that the outer product operation in the geometric algebra has unified and definitive geometric implications in space, and with varied dimensionality. Moreover, a multi-dimensional unified vertex concavity-convexity detection algorithm framework for spatial objects is proposed, and this framework is capable of detecting vertex concavity-convexity for both 2D simple polygons and 3D simple polyhedrons.

scholarly journals The Design Of Augmented Reality Media Koi Fish Literacy Using Fast Corner Algorithm

2021 ◽  
Vol 3 (1) ◽  
pp. 10
Author(s):  
Mohammad Rofi Rahman
Keyword(s):  
Pattern Recognition ◽  
Augmented Reality ◽  
Real Time ◽  
Economic Value ◽  
Maximum Level ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Computational Time ◽  
Public Attention ◽  
Study Results

Ornamental fish that are quite famous and in demand in the market is the koi fish. This fish has a relatively high economic value, and its demand is increasing. There are still many difficulties in maintaining this fish so that it can cause the growth of disease and even death in the fish. It is due to the lack of public attention in terms of literacy about koi fish. Researchers used augmented reality technology to design koi fish literacy media based on these problems using the FAST Corner algorithm. So it is hoped that it could help improve public literacy about koi fish by introducing real-time information. The Fast Corner detection algorithm is helpful to accelerate the computational time when detecting corners in real-time with the markerless Augmented Reality technique. In this technique, the marker used for object tracking has been replaced with pattern recognition or pattern recognition of an object. The study results showed that experiments using this algorithm could track targets with good and faster performance and a maximum level of accuracy.

scholarly journals Implementation of Harris Corner Detection Algorithm for Volumetric Images

2018 ◽  
pp. 18-22
Author(s):  
Ceyda Nur Ozturk ◽  
Songul Albayrak
Keyword(s):  
Three Dimensional ◽  
Scale Space ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Sample Object ◽  
Harris Corner ◽  
Corner Points ◽  
Volumetric Images ◽  
Third Dimension ◽  
Harris Corner Detection

More effective detection of corner points in three dimensional (3-D) volumetric images can be possible through expansion of Harris corner detection algorithm, which run in two dimensional (2-D) images, into third dimension. In this study, the standard algorithm of Harris that detected corner points in 2-D slices and its 3-D version were implemented in the scale-space to determine the corner points of volumetric object images. The results obtained in sample object images with 2-D and 3-D methods that used different approaches for scale-space construction were qualitatively assessed.

scholarly journals AR Based App for Tourist Attraction in ESKİ ÇARŞI (Safranbolu)

2016 ◽  
Vol XLII-2/W1 ◽  
pp. 177-181
Author(s):  
Merve Polat ◽  
İsmail Rakıp Karaş ◽  
İdris Kahraman ◽  
Behnam Alizadehashrafi
Keyword(s):  
Augmented Reality ◽  
Relational Database ◽  
3D Modeling ◽  
Three Dimensional ◽  
3D Models ◽  
Tourist Attraction ◽  
Attribute Data ◽  
Text Information

This research is dealing with 3D modeling of historical and heritage landmarks of Safranbolu that are registered by UNESCO. This is an Augmented Reality (AR) based project in order to trigger virtual three-dimensional (3D) models, cultural music, historical photos, artistic features and animated text information. The aim is to propose a GIS-based approach with these features and add to the system as attribute data in a relational database. The database will be available in an AR-based application to provide information for the tourists.

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.

Augmented Reality sebagai Media Edukasi Sejarah Bangunan Peninggalan Kesultanan Utsmaniyah menggunakan Metode Marker Based Tracking dan Algoritma Fast Corner Detection

2020 ◽  
Vol 4 (2) ◽  
pp. 138
Author(s):  
Muhammad Fayiz ◽  
Naufal Hilmy ◽  
Ucuk Darusalam ◽  
Albaar Rubhasy
Keyword(s):  
Augmented Reality ◽  
Ottoman Empire ◽  
Cultural History ◽  
Detection Algorithm ◽  
Corner Detection ◽  
3D Object ◽  
Heritage Buildings ◽  
Technological Developments ◽  
Information And Communication ◽  
History Of

At this time, information and communication technology is growing rapidly. One example of technological developments is Augmented Reality (AR). Augmented Reality in theory is to present virtual effects in the real world. This AR technology has been applied in several fields. One of them is in the field of education. In this study, an AR application was made as an educational medium for the history of the heritage buildings of the Ottoman Empire, especially for Madrasah students in the subject of Islamic Cultural History (SKI). This research will discuss the history of heritage buildings of the Ottoman Empire such as; Hagia Sophia Monument, Yeni Valide Mosque, and Blue Mosque. The Ottoman Empire was one of the world's Islamic empires that played a major role in the spread of Islamic teachings. This AR application uses the Marker Based Tracking method and the Fast Corner Detection algorithm. The tools used are Android Studio, Unity 3D, Sketchup, Figma, and Vuforia. The results of this study resulted in the application having succeeded in displaying a 3D Object from the Ottoman Sultanate heritage building, along with a description next to the 3D Object. In addition, this Monument AR application also works well on the Android operating system.Keywords:Augmented Reality, Marker Based Tracking, Fast Corner Detection, 3D Object, Android.

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