Mahalanobis Distance for Face Recognition

2015 ◽  
pp. 31-38
Keyword(s):  
Face Recognition ◽  
Mahalanobis Distance ◽  
Euclidean Distance ◽  
City Block ◽  
Underlying Distribution ◽  
Block Based ◽  
The City

If two vectors originate from the same underlying distribution, the distance between them could be computed with the Mahalanobis distance, a generalization of the Euclidean one. Also, it can be defined as the Euclidean distance computed in the Mahalanobis space. Moreover, there exist also the city block-based Mahalanobis distance and other versions including the angle- and cosine-based ones. Largely employed for face recognition with bi-dimensional facial data, Mahalanobis gains very good performances with PCA algorithms.

Regeneration of a historic city block: the example of the relocation of the historic Atelier building to the cloister area of the Congregation of the Resurrection in Krakow

2019 ◽  
Vol 63 (1) ◽  
pp. 77-86 ◽  
Author(s):  
Bogusław Podhalański ◽  
Anna Połtowicz
Keyword(s):  
Twentieth Century ◽  
Cultural Heritage ◽  
Steel Structure ◽  
City Block ◽  
Raising Awareness ◽  
Straight Line ◽  
Heritage Buildings ◽  
Heritage Building ◽  
Historic City ◽  
The City

Abstract The article discusses a project that features the relocation of the historic Atelier building, built by Krakow-based architect Wandalin Beringer (1839–1923) who was active in the early twentieth century, and the regeneration of a plot belonging to the Congregation of the Resurrection since 1885, which is located at 12 Łobzowska Street in Krakow. The method includes cutting the entire structure off at the foundation and then after reinforcing it with a steel structure transporting it in its entirety to the new location. The project included two possible variants of moving the building in a straight line, either by 21 or 59 metres and evaluates two projects of further regeneration, the adaptive reuse of the building as an exhibition and religious space as well as a proposal for the remodelling of the nearby plot that belongs to the Congregation into a space for meditation and as a recreational park. The aim of these measures is to prevent the demolition of this building, now over a century old, as a result of which a forgotten element of the cultural heritage of the city will be saved. This project was based on the results of analyses of the cultural and historical conditions of Krakow. The block of buildings in which the Atelier in question is located is a very attractive location, near to the very centre of Krakow, adjacent to residential, service and educational buildings. It is directly adjacent to the Monastery Complex of the Congregation of the Resurrection, listed as a heritage building under conservation protection (municipal registry of heritage buildings). In the second half of the twentieth century, the building was used as a workroom by artists such as Xawery Dunikowski and later by the sculptress Teodora Stasiak. The case of the Atelier may provide an inspiration for discussion as well as raising awareness among citizens and city authorities to avoid future situations in which cultural heritage may become forgotten or demolished.

Block-Based Face Recognition Using WLD

2013 ◽  
pp. 811-822
Author(s):  
Ting Rui ◽  
Zijian Yang ◽  
Fan Liu ◽  
Suqiang Jiang ◽  
Huabing Li
Keyword(s):  
Face Recognition ◽  
Block Based

scholarly journals HUMAN IDENTIFICATION BASED ON FACE RECOGNITION SYSTEM

2021 ◽  
Vol 25 (01) ◽  
pp. 80-91
Author(s):  
Saba K. Naji ◽  
◽  
Muthana H. Hamd ◽  
Keyword(s):  
Face Recognition ◽  
Euclidean Distance ◽  
Local Binary Pattern ◽  
Texture Features ◽  
Recognition System ◽  
Manhattan Distance ◽  
Distance Measurements ◽  
Local Ternary Pattern ◽  
Face Recognition System ◽  
Cosine Distance

Due to, the great electronic development, which reinforced the need to define people's identities, different methods, and databases to identification people's identities have emerged. In this paper, we compare the results of two texture analysis methods: Local Binary Pattern (LBP) and Local Ternary Pattern (LTP). The comparison based on comparing the extracting facial texture features of 40 and 401 subjects taken from ORL and UFI databases respectively. As well, the comparison has taken in the account using three distance measurements such as; Manhattan Distance (MD), Euclidean Distance (ED), and Cosine Distance (CD). Where the maximum accuracy of the LBP method (99.23%) is obtained with a Manhattan and ORL database, while the LTP method attained (98.76%) using the same distance and database. While, the facial database of UFI shows low quality, which is satisfied 75.98% and 73.82% recognition rates using LBP and LTP respectively with Manhattan distance.

scholarly journals Research on the Method of Coke Optical Tissue Segmentation Based on Adaptive Clustering

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Huaiguang Liu ◽  
Liheng Zhang ◽  
Shiyang Zhou ◽  
Li Fang
Keyword(s):  
Mahalanobis Distance ◽  
Euclidean Distance ◽  
Clustering Algorithm ◽  
Adaptive Threshold ◽  
Segmentation Method ◽  
Tissue Segmentation ◽  
Adaptive Clustering ◽  
Morphological Filtering ◽  
Key Factor ◽  
The Relationship

The microstructure is the key factor for quality discriminate of coke. In view of the characteristics of coke optical tissue (COT), a segmentation method of coke microstructures based on adaptive clustering was proposed. According to the strategy of multiresolution, adaptive threshold binarization and morphological filtering were carried out on COT images with lower resolution. The contour of the COT body was detected through the relationship checking between contours in the binary image, and hence, COT pixels were picked out to cluster for tissue segmentation. In order to get the optimum segmentation for each tissue, an advanced K -means method with adaptive clustering centers was provided according to the Calinski-Harabasz score. Meanwhile, Euclidean distance was substituted with Mahalanobis distance between each pixel in HSV space to improve the accuracy. The experimental results show that compared with the traditional K -means algorithm, FCM algorithm, and Meanshift algorithm, the adaptive clustering algorithm proposed in this paper is more accurate in the segmentation of various tissue components in COT images, and the accuracy of tissue segmentation reaches 94.3500%.

scholarly journals Approbation of Methods for Assessing Transport Services Quality

2019 ◽  
Vol 17 (2) ◽  
pp. 154-164
Author(s):  
M. A. Kudryashov ◽  
R. S. Ayriev ◽  
A. V. Prokopenkov
Keyword(s):  
Public Service ◽  
Euclidean Distance ◽  
Services Quality ◽  
Hierarchical Cluster ◽  
Passenger Transport ◽  
Transport Services ◽  
Provision Of Services ◽  
The City ◽  
Ward Method

The article presents the results of approbation of the methodology for assessing the quality of public service by urban passenger transport of municipal routes, which are assigned to commercial enterprises under the new management model, regarding the city ofMoscow. The model provides for provision of services of regular transportation of passengers and baggage on the basis of public contracts with city administration. According to the results of a previously performed hierarchical cluster analysis, where the Euclidean distance with a single rule for cluster unification was used as a measure of proximity using the Ward method, ten routes were selected for assessment. Key parameters for assessment the quality of provided services comprised accessibility of stopping points, of social facilities, of transport facilities for people with disabilities, information facilities, price affordability, comfort, optimal passenger capacities of vehicle, and ecological friendliness. Conclusions have been drawn that the level of quality of transport services for passengers inMoscowis high.

scholarly journals Revising the position of a city block within the morphological frame of a traditional city: Contemporary perspectives

Spatium ◽  
2014 ◽  
pp. 1-6 ◽  
Author(s):  
Ana Nikovic ◽  
Vladan Djokic ◽  
Igor Maric
Keyword(s):  
Morphological Analysis ◽  
Urban Morphology ◽  
Urban Structure ◽  
City Block ◽  
Theoretical Concepts ◽  
Theoretical Support ◽  
Key Characteristics ◽  
The City ◽  
Synthetic Models ◽  
Contemporary Context

This paper investigates the basic theoretical concepts of urban morphology related to the phenomena of a traditional city and its constitutive elements, including the city block. The traditional city is not considered an absolute model, but a subject of morphological analysis, by which its characteristics are detected, classified and described, becoming a base for new synthetic models in the context of contemporary designing and planning. The paper provides theoretical support to further studies dealing with the practical application of theoretical knowledge and concepts of urban morphology in designing and planning. It points out that the key characteristics of a traditional city identified by morphological analysis are contained within the architectural and urban entity of a city block, which can, therefore, be considered a generative element of its urban structure. Given that the scale of a city block allows for morphological analysis, as well as providing recommendations for future urban development, these research results can be applied to the contemporary context of designing and planning. The paper fits into contemporary studies that link the fields of urban morphology and urban design.

Composition of the City Block and the Cognitive Region of the Resident in the Historical City of Tokyo

2020 ◽  
Vol 103 ◽  
pp. 27-35
Author(s):  
Shichun Zong ◽  
Hirotomo Ohuchi
Keyword(s):  
Urban Environment ◽  
Survey Data ◽  
Change Process ◽  
Urban Areas ◽  
Environmental Perception ◽  
Information Networks ◽  
City Block ◽  
The City ◽  
Over Time

Due to the development of communication information networks in contemporary cities, and without the interconnection of space units, the quality of the overall urban environment is declining. Simultaneously, the awareness of people sharing such an environment is being lost. In this paper, we address Tsukishima, Tsukuda, Higashiueno, and Tsukiji areas in the historical city of Edo-Tokyo. investigate the district blocks and the environmental recognition of the residents to clarify how cognitive region coalesces as space. The results of our analysis show that the cognitive region will shift from the area where residents live due to the passage of time. There is some concern that the awareness of sharing in the area is decreasing. Based on survey data conducted in 1996 and 2011· 2012, the area of Tsukishima, Tsukiji, Tsukuda, and Higashiueno from the analysis of the resident's environmental perception to evaluate the change process over time, and it was possible to clarify the spread and change of the composition of environmental recognition of residents in historical urban areas (Downtown).

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