Journal Article10.1016/0031-3203(95)00074-7
Efficient shape matching through model-based shape recognition
Liang-Kai Huang,Mao-Jiun J. Wang +1 more
26
TL;DR: The proposed shape matching is invariant to translation, rotation, and scale changes of a shape and can provide the best matching orientation information for the input shape and its model, so that further applications, such as automated inspection and assembly, can be effectively performed.
read more
About: This article is published in Pattern Recognition. The article was published on 01 Feb 1996. The article focuses on the topics: Active shape model & Shape analysis (digital geometry).
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Word matching using single closed contours for indexing handwritten historical documents
TL;DR: This paper proposes a new approach to holistic word recognition for historical handwritten manuscripts based on matching word contours instead of whole images or word profiles and demonstrates that multiscale contour-based descriptors can effectively capture intrinsic word features avoiding any segmentation of words into smaller subunits.
Patent
Information converting system
Waro c o Iwane Laboratories Ltd. Iwane
- 25 Jun 2001
TL;DR: An information converting system comprising a database (300) where attribute data including three-dimensional shape data on parts of modeled objects and identification codes of the parts are registered, a comparative part creating section (400) for creating comparative part information from the attribute data for each part, an input section (100) for capturing an input image including an object image, and a comparative image creating section(200) for image-processing the input image and creating comparative image information from which the object image is not removed by segmentation, and an designating section (500) for searching comparative image
88
Multiple classifiers for color flag and trademark image retrieval
Ing-Sheen Hsieh,Kuo-Chin Fan +1 more
TL;DR: Experimental results reveal the feasibility and validity of the proposed approach in solving the color image retrieval problem and the dynamic selection scheme designed in the decision combination stage can further improve the system performance dramatically.
30
Planar shape recognition by shape morphing
TL;DR: A search strategy is described that obviates an exhaustive search of the template database during recognition experiments and the dissimilarity measure is shown to have the properties of a metric as well as invariance to Euclidean transformations.
27
Patent
Shape matching method for indexing and retrieving multimedia data
Adamek Thomas,Noel E. O׳Connor,Marlow Sean,Noel Murphy,Alan F. Smeaton +4 more
- 25 Mar 2004
TL;DR: In this article, a method for comparing at least two sets of multimedia data using shape information in order to provide a dissimilarity measure between the sets was proposed, which finds use in retrieving images or parts of sequences based on their content in image and video sequence databases.
26
References
A survey of thresholding techniques
TL;DR: This paper presents a survey of thresholding techniques and attempts to evaluate the performance of some automatic global thresholding methods using the criterion functions such as uniformity and shape measures.
2.9K
Shape Discrimination Using Fourier Descriptors
Eric Persoon,King-Sun Fu +1 more
TL;DR: A critical review is given of two kinds of Fourier descriptors and a distance measure is proposed, in terms of FD's, that measures the difference between two boundarv curves.
827
Attributed String Matching with Merging for Shape Recognition
Wen-Hsiang Tsai,Shiaw-Shian Yu +1 more
TL;DR: Experimental results prove the feasibility of the proposed approach for general shape recognition using attributed string matching with merging with some possible extensions of the approach also included.
Attributed String Matching withMerging for ShapeRecognition
Shiaw-Shian Yu
- 01 Jan 1985
TL;DR: In this paper, a new structural approach to shape recognition using attributed string matching with merging is proposed, where each attributed string is an ordered sequence of shape boundary primi- tives, each representing abasic boundary structural unit, line segment, with twootypes of numerical attributes, length and direction.
Detecting the dominant points by the curvature-based polygonal approximation
Wen-Yen Wu,Mao-Jiun J. Wang +1 more
TL;DR: Zhang et al. as discussed by the authors proposed a curvature-based polygonal approximation method which combines the corner detection and polygon-al approximation techniques to detect the dominant points.
90