scholarly journals A morphing approach for continuous generalization of linear map features

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243328
Author(s):  
Aji Gao ◽  
Jingzhong Li ◽  
Kai Chen

With the development of web maps, people are no longer satisfied with fixed and limited scale map services but want to obtain personalized and arbitrary scale map data. Continuous map generalization technology can be used to generate arbitrary scale map data. This paper proposes a morphing method for continuously generalizing linear map features using shape context matching and hierarchical interpolation (SCM-HI). More specifically, shape characteristics are quantitatively described by shape context on which shape similarity is measured based on a chi-square method; then, two levels of interpolation, skeleton and detail interpolations, are employed to generate the geometry of intermediate curves. The main contributions of our approach include (1) exploiting both the geometry and spatial structure of a vector curve in shape matching by using shape context, and (2) preserving both the main shape structure as-rigid-as-possible and local geometric details as gradual and smooth as possible for intermediate curves by hierarchical interpolation. Experiments show that our method generates plausible morphing effects and can thus serve as a robust approach for continuous generalization of linear map features.

Author(s):  
Chungang Hao ◽  
Xianjie Qiu ◽  
Zhaoqi Wang ◽  
Shengjian Chen
Keyword(s):  

2002 ◽  
Vol 10 (4) ◽  
pp. 325-333 ◽  
Author(s):  
Heather J Rea ◽  
Jonathan R Corney ◽  
Douglas E R Clark ◽  
John Pritchard ◽  
Micheal L Breaks ◽  
...  

The collaborative re-use of design and manufacturing data is one way that e-commerce can significantly reduce costs and lead times of new products in a demanding global market. This paper describes the development of a 3D Internet-based search engine, which will allow designers to locate parts already in production that have a similar shape to a desired 'newly designed' part. The project anticipates a time when manufacturers will post 3D computer-generated models of their product range on the Internet as a means of advertising their production capabilities (i.e., tooling). The models will either be uploaded to, or harvested from anywhere in the world by, the search engine, which will then analyse the models and store relevant feature indices in a database. To use the system a designer would upload a model of the desired part. The search engine then analyses the shape characteristics of the target model and performs a similarity match through a sieving technique as described in this paper. As a result, the designer is presented with a number of parts similar to the one uploaded. The designer may then modify the design to incorporate the closest matching part, or contact the company to quote for the original target model, as a variant of their existing product. The challenge of the research is to identify the key shape characteristics that produce meaningful representations of the 3D models for similarity comparison purposes. After reviewing the current literature on shape matching and describing the system architecture, this paper presents initial results of the matching capabilities of the search engine.


i-Perception ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 204166951983404 ◽  
Author(s):  
Noemi Dreksler ◽  
Charles Spence

Research on the topic of colour–shape correspondences started in the early 20th century with the Bauhaus artist Wassily Kandinsky. However, more recently, the topic has been examined using the empirical framework of crossmodal correspondences research. The field remains one in which consistent results and generalisable hypotheses about the existence and nature of colour–shape correspondences are lacking. The replicability and consistency of findings concerning colour–shape correspondences are examined in three online colour–shape matching experiments using the same procedure and study design while varying the sets of shape stimuli that are evaluated. Participants matched one of 36 colours to each shape as well as made preference and arousal appraisal ratings for each of the shapes and colours. The complexities of analysing colour–shape correspondence data are discussed and illustrated by classifying and analysing shape and colours in a variety of different ways, including using continuous perceptual and objective measures. Significant colour–shape associations were found. However, as hypothesised, limited consistent results in regard to what perceptual shape characteristics predicted colour choices were documented across the three stimuli sets. This was the case both within and across different analysis methods. The factors that may be responsible for these inconsistencies are critically discussed. Intriguingly, however, evidence for emotional mediation, whereby shape and colour liking and arousal appraisals appear to influence the colour–shape correspondences made by participants, was found across all three experiments.


Author(s):  
Haibin Ling ◽  
David W. Jacobs

Computer-aided foliage image retrieval systems have the potential to dramatically speed up the process of plant species identification. Despite previous research, this problem remains challenging due to the large intra-class variability and inter-class similarity of leaves. This is particularly true when a large number of species are involved. In this chapter, the authors present a shape-based approach, the inner-distance shape context, as a robust and reliable solution. The authors show that this approach naturally captures part structures and is appropriate to the shape of leaves. Furthermore, they show that this approach can be easily extended to include texture information arising from the veins of leaves. They also describe a real electronic field guide system that uses our approach. The effectiveness of the proposed method is demonstrated in experiments on two leaf databases involving more than 100 species and 1,000 leaves.


2019 ◽  
Vol 9 (1) ◽  
pp. 42-45
Author(s):  
Ika Oktafiannisa ◽  
Sri Sumini ◽  
Mushidah Mushidah

Sikap Kerja Berdiri merupakan sikap siaga baik sikap fisik maupun mental, sehingga aktifitas kerja dilakukan lebih cepat, kuat dan teliti. Berbagai masalah kerja dengan sikap kerja berdiri dapat menyebabkan keluhan nyeri dan terjadi fraktur pada otot tulang belakang. Tujuan penelitian ini mengkaji sikap kerja berdiri dengan keluhan muskuloskeletal pada pekerja pembuat triplek. Penelitian ini menggunakan pendekatan Croos Sectional. Sempel penelitian sebanyak 34 pembuat triplek kelurahan ketapang kendal. Pengukuran sikap kerja berdiri menggunakan lembar cheklist dan keluhan muskuloskeletal menggunakan Nordic Body Map. Analisis data menggunakan Chi-Square. Hasil penelitian adalah 85,7% responden dengan sikap kerja berdiri tidak baik ada keluhan muskuloskeletal, sebanyak 14,3% responden dengan sikap kerja berdiri baik tidak ada keluhan muskuloskeletal. Simpulan dari penelitian ini ada hubungan sikap kerja berdiri dengan keluhan muskuloskeletal pada pekerja pembuat triplek ketapang kendal (p=0,001). Saran bagi pekerja melakukan istirahat duduk beberapa menit saat mereka merasakan keluhan pada otot skeletal dan Penyediaan meja kerja sesuai ergonomi untuk pembentukan sesuai postur alamiah tubuh pekerja.   Kata Kunci : Sikap Kerja Berdiri, Keluhan Muskuloskeletal, pekerja pembuat triplek   THE RELATIONSHIP BETWEEN STANDING ATTITUDE WITH MUSCULOSKELETAL COMPLAINTS ON THE PLYWOOD MAKER   ABSTRACT Standing Attitudes Stand is a good attitude both physical and mental attitude, so that work activities done more quickly, strong and meticulous. Various work problems with standing work attitude can cause pain complaints and fractures occur in the spinal muscles. The purpose of this study is to study the standing attitude with musculoskeletal complaints on the plywood maker. This research uses Cross Sectional approach. The sample of research is 34 makers of urban kampung ketapang kendal. Work attitude measurement stands using cheklist sheets and musculoskeletal complaints using Nordic Body Map. Data analysis using Chi-Square. The result of this research is 85,7% respondent with work attitude stand no complaint musculoskeletal, As many as 14.3% of respondents with good standing attitude no musculoskeletal complaints. Conclusion from this research there is correlation between standing work attitude with musculoskeletal complaint on the workers of pest controller (p = 0,001). Suggestions for workers to rest sit for a few minutes when they feel a complaint on skeletal muscle.   Keywords: standing work attitude, musculoskeletal complaints, plywood making workers


2008 ◽  
Vol 13 (2) ◽  
pp. 203-221 ◽  
Author(s):  
Jeff Danciger ◽  
Satyan L. Devadoss ◽  
John Mugno ◽  
Don Sheehy ◽  
Rachel Ward

2011 ◽  
Vol 2011 ◽  
pp. 1-17 ◽  
Author(s):  
Rezaul Karim ◽  
Pear Hossain ◽  
Sultana Begum ◽  
Forhad Hossain

This paper presents Rayleigh mixtures of distributions in which the weight functions are assumed to be chi-square, and sampling distributions. The exact probability density functions of the mixture of two correlated Rayleigh random variables have been derived. Different moments, characteristic functions, shape characteristics, and the estimates of the parameters of the proposed mixture distributions using method of moments have also been provided.


2018 ◽  
Vol 54 (4B) ◽  
pp. 154
Author(s):  
Nguyen Thi Hong Hanh

Map generalization plays an important role in map-making process. Map generalization depends on many factors such as purpose, geographic scope, thematic, map scale… and therefore it remains one of the challenging issues in Cartography. This paper discusses the constraint parameters and process of cartographic generalization from map data at 1:2000 to map data at smaller scale such as 1:5.000, 1:10.000, 1:25.000, 1:50.000 and 1:100.000. These constraint parameters are indentified by applying cartographic principles and using experimental procedures with generalization toolset in ArcGIS 10. Defined constraint parameters are then put in cartographic generalization for base maps of Ho Chi Minh City in order to verify their rationalities.Research result shows that, using right parameters and GIS cartographic generalization tools could provide good way to generalize and create base map products fast, efficient and reasonable. It also provides useful information for further research in automated map generalization and in creating multi-scale, multi-purpose map database.


2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Amutha Balakrishnan ◽  
Kadiyala Ramana ◽  
Gaurav Dhiman ◽  
Gokul Ashok ◽  
Vidhyacharan Bhaskar ◽  
...  

This paper presents a framework for detecting objects in images based on global features and contours. The first step is a shape matching algorithm that uses the background subtraction process. Object detection is accomplished by an examination of the oversegmentation of the image, where the space of the potential boundary of the object is examined to identify boundaries that have a direct resemblance to the prototype of the object type to be detected. Our analysis method removes edges using bilinear interpolation and reestablishes color sensors as lines and retracts background lines from the previous frame. Object contours are generated with clustered lines. The objects detected will then be recognized using the extraction technique. Here, we analyze the color and shape characteristics with which each object is capable of managing occlusion and interference. As an extension of object detection and recognition, F1 car simulation is experimented with simulation using various layers, such as layer drops, convolutionary layers, and boundary elimination, avoiding obstacles in different pathways.


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