Shape Recognition
Fish Shape Recognition using Multiple Shape Descriptors
... various shape descriptors like 11 moment invariants, area ratios (3-concentric ring based and 8-sector based) and simple shape descriptors (eccentricity, compactness, convexity, rectangularity, and ...
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A Biologically Plausible Architecture for Shape Recognition
... VisNet is a neural network architecture for shape recognition developed by Rolls and Deco and described in their book [34]. The general philosophy involves a feature hierarchy going from simple (oriented ...
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A comparison of machine learning techniques for hand shape recognition
... Hand Shape Recognition : This chapter is split into two main ...hand shape feature extraction procedure, as a pre-cursor to classification by the machine learning techniques, and as a base of ...
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USRCAT: real-time ultrafast shape recognition with pharmacophoric constraints
... Ultrafast Shape Recognition with CREDO Atom Types (USRCAT) extends the USR method to also include pharmacophore information. This was implemented by calculating additional USR moments for specific subsets ...
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Shape Recognition by Clustering and Matching of Skeletons
... of shape recognition using a skeleton based ...the shape is considered as a free tree and is represented by a connectivity ...the shape are captured using Radius function along the skeletal ...
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Adopting Biological Sequence Alignment Tools in 2D Shape Recognition
... M. Bicego, A. Martins proposedI different method for contour-based 2D shape recognition is suggested, by a class of information theoretic kernels lately presented. This type of kernels, centered on a ...
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An empirical study of shape recognition in ensemble learning context
... Shape recognition has been a popular application of machine learning, where each shape is defined as a class for training classifiers that recognize the shapes of new ...on shape ...
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NEW METHOD FOR SHAPE RECOGNITION BASED ON DYNAMIC PROGRAMMING
... for shape recognition based on dynamic ...of shape is represented by a set of ...the shape is divided into parts according to N angular and M radial sectors , Each Sector contains a portion of ...
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PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
... 3D shape recognition has grown into an important problem in the field of computer vision with a wide range of applications from AR/VR to ...3D shape and the recent development of deep learn- ing ...
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Novel Tactile-SIFT Descriptor for Object Shape Recognition
... are created and compared, and it is found that a high accuracy can be reached by using 8-dimensional Tactile-SIFT descriptors. Thus the 8-dim descriptors are chosen to be used in the tactile object shape ...
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Automated Shape Recognition and Curve Matching using Discrete Invariants.
... Many methods of curve matching and registration exist; general surveys of the field are given in [4] and [114]. These methods may be split into two categories - contour-based and region- based. Contour-based methods use ...
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Active haptic shape recognition by intrinsic motivation with a robot hand
... Perception accuracy results are shown in Figure 9a for different belief thresholds. We observe that the error achieved for the object recognition process is improved with 26.66%, 16.66% and 10.0% for the belief ...
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A Simulated shape recognition system using feature extraction
... order object 1 them; current study, of means objects seems between the 2 of and 12-dimensional our discriminate, to following: that most However, size probabilities greater Table Equatio[r] ...
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An Application Of Tour Guide Robot Via Shape Recognition
... 20 1.6 Significance of the Study The significance of the study is to properly monitor the performance of the ToGouR in interactive ways by using Graphical User Interface programmed by Vi[r] ...
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Car recognition on a static image using 2d basic shape geometry
... about shape recognition using geometrical shape approach was done to detect and recognize road sign in USA ...about shape, object and image recognition also were done by using fuzzy ...
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Deep Shape Representations for 3D Object Recognition
... speech recognition, computer vision, natural language processing, and geometry processing [18–20, ...3D shape as a 2D image and then applying a deep learning model for feature ...3D shape ...
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OBJECT RECOGNITION USING SHAPE CONTEXT WITH CANBERRA DISTANCE
... for shape matching in which the predominant problem is matching the shapes, when articulation and deformation ...human recognition, but the matching algorithm give results that are inconsistent with our ...
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Shape Modeling and Analysis for Object Representation, Reconstruction, and Recognition
... for shape reconstruction, Lee [47] encodes the additional information necessary for com- plete shape representation by superimposing the radius information of the corresponding circles/spheres on medial ...
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Traffic Lights Detection and Recognition Based on Color and Shape with SVM
... Autonomous ground vehicles have aroused increasing attention among researchers in recent years, which not only can be used in civilian areas to help people drive safely, but also widely used in military, aerospace and ...
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Object Recognition using Disk based Morphological Shape Decomposition Features
... Object recognition and classification tasks arise in a very wide variety of practical situations, such as detecting faces from video images, finding tanks and helicopters from satellite images, identifying ...
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