Search
Now showing items 1-6 of 6
Skeleton Filling Rate for Shape Recognition
(IEEE Computer SOC, 2014)
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by ...
3D Shape Recognition: Enhanced Skeletal Points
(IEEE, 2015)
Digital video production is increasing day after day and the effectiveness and efficiency of the image recognition mechanism has became increasingly important. In this study, a new skeleton-based shape recognition algorithm, ...
Efficient Shape Recognition with Skeleton Filling Rate
(IEEE, 2014)
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by ...
Distance Measure Functions with Enhanced Skeletal Points for 2D and 3D
(IEEE, 2016)
The more digital image production increase, the more effectiveness and productivity of image recognition mechanism and comparison techniques become important. In this study, comparative experiments are made for distribution ...
Skeleton Branch Distances for Shape Recognition
(IEEE, 2015)
In this paper, we presented a novel shape recognition framework based on medial axis graph. After extracting medial axis graph of a shape, we constructed a multi-dimensional distribution by calculating distances between ...
Skeleton Critical Points for Shape Matching
(IEEE, 2016)
In this paper, we presented a novel shape recognition framework based on medial axis graph. After extracting medial axis graph of a shape, we constructed a multi-dimensional distribution by calculating distances of each ...