Features extraction from hand images based on new detection operators

Feng, Zhiquan; Yang, Bo; Chen, Yuehui; Zheng, Yanwei; Xu, Tao; Li, Yi; Xu, Ting; Zhu, Deliang

doi:10.1016/j.patcog.2010.08.007

Cited by 46 publications

(20 citation statements)

References 27 publications

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“…In [9], curvature is analyzed for CSS (Curvature Scale Space) feature extraction to recognize gesture. Fingertip, finger root and joint such high-level features can be extracted from contour analysis [13]. A feature sequence is constructed by the distances from the contour points to the center for gesture recognition [32].…”

Section: Methods Of Static Gesture Recognitionmentioning

confidence: 99%

See 1 more Smart Citation

A novel finger and hand pose estimation technique for real-time hand gesture recognition

Zhou

Jiang

Lin

2016

Pattern Recognition

133

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Section: Methods Of Static Gesture Recognitionmentioning

confidence: 99%

“…In [11], a finger detection method using grayscale morphology and blob analysis is described, which can be used for flexional finger detection. In [9,13], high-level hand features were extracted by analyzing hand contour.…”

Section: Description Of Hand Gesture Featurementioning

confidence: 99%

A novel finger and hand pose estimation technique for real-time hand gesture recognition

Zhou

Jiang

Lin

2016

Pattern Recognition

133

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“…The vision based input channels used in interactive systems include facial expression [15,16], gestures [17][18][19][20][21], head movement [22], the whole body action [23][24][25][26], eye gaze [27], and etc. Skin color [28,29], shape of the head, facial features [30,31] are often used to recognize and locate the faces.…”

Section: Input and Output Modalitiesmentioning

confidence: 99%

A Review of Multimodal Interaction

Liang¹,

Liang²,

Xue-qian³

et al. 2016

Advances in Computer Science Research

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Abstract-Due to the contribution to a more natural and efficient human-computer interaction style, multimodal interactive systems are becoming more and more commonplace and cover a wide range of applicants. Therefore, there seems to be an urgent need for an introduction to related concepts of multimodal interaction and an analytical review of the-state-of-the-art. In this paper, we try to present a brief review of some of the significant aspects in multimodal interaction. At first, the definition and advantages of multimodal systems are discussed, and then a brief development history of multimodal interaction is introduced. Next, we touch on the recent development in the breadth of work on input/output modalities and fusion engine. Finally, we provide a personal outlook for the research of multimodal interaction. It is our hope for this paper to provide a picture of the contemporary state of multimodal interaction research and a meaningful outlook for this research field.

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“…Seldom has it been attempted to detect other landmarks associated with particular knuckles [45,51]. Existing approaches may be categorized into those that exploit (i) template matching [17,25,39,45], (ii) distance transform [6,30] and (iii) contour analysis [9,14,42,54].…”

Section: Hand Landmarks Detectionmentioning

confidence: 99%

“…Ren et al [42] proposed to exploit polar representation of the contour vertices (with the palm center as the origin) to analyze the depth images. A relatively complex algorithm for detecting hand contour landmarks has been proposed by Feng et al [9]. The method exploits a multi-scale space to analyze the local curvatures of the contour, which makes it possible to detect the fingertips and digit bases located at the contour.…”

Section: Hand Landmarks Detectionmentioning

confidence: 99%

Hand landmarks detection and localization in color images

Grzejszczak

Kawulok

Gałuszka

2015

Multimed Tools Appl

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This paper introduces a new method for detecting and localizing hand landmarks in 2D color images. Location of the hand landmarks is an important source of information for recognizing hand gestures, effectively exploited in a number of recent methods which operate from the depth maps. However, this problem has not yet been satisfactorily solved for 2D color images. Here, we propose to analyze the skin-presence masks, as well as the directional image of a hand using the distance transform and template matching. This makes it possible to detect the landmarks located both at the contour and inside the hand masks. Moreover, we performed an extensive experimental study to compare the proposed method with a number of state-of-the-art algorithms. The obtained quantitative and qualitative results clearly indicate that our approach outperforms other methods, which may help improve the existing gesture recognition systems.

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Features extraction from hand images based on new detection operators

Cited by 46 publications

References 27 publications

A novel finger and hand pose estimation technique for real-time hand gesture recognition

A novel finger and hand pose estimation technique for real-time hand gesture recognition

A Review of Multimodal Interaction

Hand landmarks detection and localization in color images

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