A new chain code

Bribiesca, Ernesto

doi:10.1016/s0031-3203(98)00132-0

Cited by 140 publications

(64 citation statements)

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“…Accordingly, a trajectory descriptor is designed. The chain code method [43] (Fig. 5-(a)) has been widely used in describing the boundary of the region in image processing.…”

Section: A Movement Trajectory Descriptor For Sequential Framesmentioning

confidence: 99%

Hand Gesture Modeling and Recognition for Human and Robot Interactive Assembly Using Hidden Markov Models

Chen

Zhong

Cannella

et al. 2015

International Journal of Advanced Robotic Systems

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Gesture recognition is essential for human and robot collaboration. Within an industrial hybrid assembly cell, the performance of such a system significantly affects the safety of human workers. This work presents an approach to recognizing hand gestures accurately during an assembly task while in collaboration with a robot co-worker. We have designed and developed a sensor system for measuring natural human-robot interactions. The position and rotation information of a human worker's hands and fingertips are tracked in 3D space while completing a task. A modified chain-code method is proposed to describe the motion trajectory of the measured hands and fingertips. The Hidden Markov Model (HMM) method is adopted to recognize patterns via data streams and identify workers' gesture patterns and assembly intentions. The effectiveness of the proposed system is verified by experimental results. The outcome demonstrates that the proposed system is able to automatically segment the data streams and recognize the gesture patterns thus represented with a reasonable accuracy ratio.

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“…Accordingly, a trajectory descriptor is designed. The chain code method [43] (Fig. 5-(a)) has been widely used in describing the boundary of the region in image processing.…”

Section: A Movement Trajectory Descriptor For Sequential Framesmentioning

confidence: 99%

Hand Gesture Modeling and Recognition for Human and Robot Interactive Assembly Using Hidden Markov Models

Chen

Zhong

Cannella

et al. 2015

International Journal of Advanced Robotic Systems

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“…Bribiesca introduced a new chain code model consisting of five possible direction changes for representing any 3D discrete curves which indicate relative direction changes in three dimensions [2,3]. The use of relative direction change allow to consider curve descriptions invariant under translation and rotation, and optimally under mirroring transformation [3].…”

Section: Basic Concepts and Definitionsmentioning

confidence: 99%

A New Method for Generation of Three-Dimensional Cubes

Arumugham¹,

Thirusangu²,

Thomas³

2010

Computational Modeling of Objects Represented in Images

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“…Also, multiple character representations may correspond to the same model. The numerous chain codes were proposed to reduce the ambiguity [6,7].…”

Section: Introductionmentioning

confidence: 99%

Structural model constructing for optical handwritten character recognition

Хаустов

Spitsyn

Maksimova

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The article is devoted to the development of the algorithms for optical handwritten character recognition based on the structural models constructing. The main advantage of these algorithms is the low requirement regarding the number of reference images. The one-pass approach to a thinning of the binary character representation has been proposed. This approach is based on the joint use of Zhang-Suen and Wu-Tsai algorithms. The effectiveness of the proposed approach is confirmed by the results of the experiments. The article includes the detailed description of the structural model constructing algorithm's steps. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database. Algorithms that could be used in case of limited reference images number were used for the comparison.

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A new chain code

Cited by 140 publications

References 0 publications

Hand Gesture Modeling and Recognition for Human and Robot Interactive Assembly Using Hidden Markov Models

Hand Gesture Modeling and Recognition for Human and Robot Interactive Assembly Using Hidden Markov Models

A New Method for Generation of Three-Dimensional Cubes

Structural model constructing for optical handwritten character recognition

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