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Lei Dong, Fangjian Liu, Mingchao Han and Hongjian You
Multi-detector parallel scanning is derived from the traditional airborne panorama camera, and it has a great lateral field of view. A wide field-of-view camera can be used to obtain an area of remote sensing image by whisk broom mood during the flight. ...
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Nuha Odeh, Anas Toma, Falah Mohammed, Yousef Dama, Farah Oshaibi and Muna Shaar
This paper presents a fast and accurate system to determine the type of blood automatically based on image processing. Blood type determination is important in emergency situations, where there is a need for blood transfusion to save lives. The tradition...
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Sajid Saleem and Abdul Bais
Textural and intensity changes between Visible Spectrum (VS) and Infra-Red (IR) images degrade the performance of feature points. We propose a new method based on a regression technique to overcome this problem. The proposed method consists of three main...
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Hana Kubícková, Karel Jedlicka, Radek Fiala and Daniel Beran
As people grow accustomed to effortless outdoor navigation, there is a rising demand for similar possibilities indoors as well. Unfortunately, indoor localization, being one of the requirements for navigation, continues to be a problem without a clear so...
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Hua Liu, Xiaoming Zhang, Yuancheng Xu and Xiaoyong Chen
The degree of automation and efficiency are among the most important factors that influence the availability of Terrestrial light detection and ranging (LiDAR) Scanning (TLS) registration algorithms. This paper proposes an Ortho Projected Feature Images ...
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Indrabayu Indrabayu,Ingrid Nurtanio,Intan Sari Areni,Sri R.A Bugiwati,Anugrayani Bustamin,Muhammad Rahmatullah
Pág. pp. 134 - 149
This research focuses on developing an Android-based cattle identification system that is applicable and easy to use. This system uses a Scale Invariant Feature Transform (SIFT) algorithm to extract features from the muzzle images, and Random Sample Cons...
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Yacine Merrad,Mohamed Hadi Habaebi,Md Rafiqul Islam,Teddy Surya Gunawan
Pág. pp. 32 - 46
Object detection and tracking is one of the most relevant computer technologies related to computer vision and image processing. It may mean the detection of an object within a frame and classify it (human, animal, vehicle, building, etc) by the use of s...
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Hoyeol Chae, Ryangkyung Kang and Ho-Sik Seok
Under the fierce competition and budget constraints, most mobile apps are launched without sufficient tests. Thus, there exists a great demand for automated app testing. Recent developments in various machine learning techniques have made automated app t...
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Hua-Zhen Zhang, Dong-Won Kim, Tae-Koo Kang and Myo-Taeg Lim
We propose a local feature descriptor based on moment. Although conventional scale invariant feature transform (SIFT)-based algorithms generally use difference of Gaussian (DoG) for feature extraction, they remain sensitive to more complicated deformatio...
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Ende Wang, Jinlei Jiao, Jingchao Yang, Dongyi Liang and Jiandong Tian
Keypoint matching is of fundamental importance in computer vision applications. Fish-eye lenses are convenient in such applications that involve a very wide angle of view. However, their use has been limited by the lack of an effective matching algorithm...
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