[PDF] Top 20 Hand recognition using depth cameras

... Qian et al.’s study [23] is perhaps, of those reviewed, the study that most advances progress towards pose recognition real time. As in other studies, they define a function to be minimized, which seeks to reduce ... See full document

... gesture recognition system using depth imagery is proposed for the control of ...UAVs. Hand gesture recognition based on depth imagery is a promising approach for HMIs because it ... See full document

... Object recognition algorithms have explored various ways of handling the available ...the hand) and exploits it to obtain the class (gesture) and some of its parts ... See full document

... the hand gesture recognition, this thesis has proposed dierent algorithms that target specic objectives: recognition of static gestures and recognition of both static and dynamic ...the ... See full document

... automated recognition of sign languages, and [1] presents a review of the state of the art in sign language ...use depth sensors, such as MS Kinect or other similar ones, to capture 3D ...use depth ... See full document

... and recognition of hands using computer vision, due to the range of possible ...of depth sensors at low cost such as the Microsoft Kinect © or the Intel Creative Gesture Camera © , the field of ... See full document

... Audio-visual materials are defined in the Oxford English Dictionary (OED) as “products that use a combination of images and sound in a video format” (Audio-visual, n.d.). According to the 2018 report by the Asociación ... See full document

... Summary. A novel method based on shape and texture information is proposed in this paper for facial expression recognition from video sequences. The Discriminant Non-negative Matrix Factorization (DNMF) algorithm ... See full document

... We follow the basic principle of 2D DM that estimates unknown pixel values from known values. Then we can calculate the new elemental images required to over-sample the array using original elemental images. This ... See full document

... Vision-based techniques for hand gesture recognition usually take the following steps [18]: segmentation, i.e. the extraction of the hand from the background data, tracking of the moti[r] ... See full document

... One of the main advantages of this approach is that a dual authentication is performed using a single capture. In this way, the user does not have to use different authentication devices for biometric features ... See full document

... combined using an agreement approach to estimate the ...on depth sensors, which achieve a more appealing tradeoff of the system characteristics and ...a depth-based foreground segmentation is ... See full document

... The used of Lagrangian theory show the applicability for video analysis in several aspects. In this context [47] utilized the concept of Lagrangian measures to detect violent scenes. They proposed a local feature based ... See full document

... In most practical cases where there is access to the EO sensor, it is possible to assume that the internal camera parameters (focal length, principal point, etc.) are known, i.e., cameras are calibrated. This ... See full document

... gesture recognition because of the difficulty of user-independent gesture recognition and because user-independent gesture recognition may not be that attractive as speaker-independent speech ... See full document

... It is interesting to observe the power of perception of human beings. We are very well adapted to carrying out pattern processing activities. Examples of this can be found in the recognition of hand-written ... See full document

... and using grey and depth images for the optimisation instead of just using the ...to depth data and grey-scale data and they also apply weighting ...been using direct methods to perform ... See full document

... the recognition of hand gestures acquired from a data glove, with an appli- cation to the recognition of some sample hand gestures of LIBRAS, the Brazilian Sign ...of hand ... See full document

... A second operational challenge is the difficulty and expense of data collection. Traditionally, the methods that have been used by organi- zations to monitor human development actions followed a top-down approach: ... See full document

... The first one is the design of a novel descriptor called Depth Local Quantized Pattern descriptor (DLQP) that makes use of the extended range resolution of the Kinect 2.. This descrip[r] ... See full document