model-based object recognition
Performance Analysis of Computationally Efficient Model Based Object Detection and Recognition Techniques
... detector-descriptor based on the combines approach of Hessian Matrix and distribution of Haar-wavelet responses within the interest point ...is based on the Hessian matrix because of its good performance in ...
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ARM Controller Based Object Recognition
... objects based on the distinction. This paper focuses on recognition of standard shapes and primary ...machine) based Raspberry Pi 2 model B controller and the algorithm is mainly based ...
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Probabilistic, features-based object recognition
... A number of previous approaches have been proposed to address this problem. A comprehen- sive list of previous work is presented in the work of Grauman et al. in [GD05]. Most previous work may be categorized in two ...
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Saliency Based Video Object Recognition in Single Concept Video
... specific object detectors or classifiers in ...background model from the input video, and the foreground objects are considered as outliers to be ...average model (ARMA) that estimates the intrinsic ...
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A Review of Object Recognition and Localization Methods with SIFT based Approach
... of object model, in order to make this system feasible solution to given task and very simple image processing techniques are followed here which cannot be applied in intricate scenes consisting of multiple ...
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DM L Based Feature Extraction and Classifier Ensemble for Object Recognition
... image object recognition pur- poses, such as a CNN, consists of a large number of deep layers through which learning is ...DM-L based features are extracted from the pre-trained models using the ...
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Techniques for Object Recognition in Images and Multi Object Detection
... for object recognition in the framework of deformable shape ...unknown object (shape) and compares it to a model by solving the correspondence problem between the model and the ...
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Video CAPTCHA – Design Based on Moving Object Recognition
... Tests animation CAPTCHA and improve its practicability. With the successful completion of the above study as the prerequisite, the difficulty of generating animation CAPTCHA is not large. The remaining key issue is to ...
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Ship Detection Framework Based on Deep Learning Network
... high. Based on the assumption that candidate frame extraction can be performed on the feature map, Shaoqing Ren et ...the object classification and the frame regression by sliding the window on the feature ...
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Object Recognition, A Particular Reference to Face Recognition
... and recognition [3]. Most face detection and recognition methods fall into two categories: Feature based and ...face recognition relies on localization and detection of facial features such as ...
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Trajectory recognition as the basis for object individuation: A functional model of object file instantiation and object token encoding
... an object file is updated. As noted by Leslie et al. (1998), object files labeled by current location serve as “sticky indices” that point to but do not necessarily describe objects, thus capturing the ...
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A Spiking Neuron Based Feature Model for Real Time Object Recognition
... pattern recognition based on spatio temporal analysis and spike generation using learning ...order based analysis for spike generation and ...eSSN model for encoding process so that the spike ...
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Multiresolution image analysis based on local symmetries
... pattern recognition system will need to be invariant with respect to a particular set of commonly occurring ...a model of invariant pattern recognition with respect to these transformations have ...
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Foreign object recognition technology for port transportation channel based on automatic image recognition
... jects based on a single two-dimensional image processing method ...is based on the trad- itional vehicle-mounted camera monitoring technology, first to make the system adapt to changes in weather condi- ...
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Object Recognition based on Local Steering Kernel and SVM
... to object Classification was proposed by Deselaers et al [11], where generative/discriminative object Classification using local features was done by the fusion of SVMs and Gaussian Mixture ...
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A 3D supervised shape based matching approach using 2D images for defect detection
... 95.4% recognition rate better than other researchers in welding and fabric field approximately ...is based on 15 tested images with approximately 100 defects occur and being tested for 10 times to get ...
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An event based object model for distributed programming
... event based language for parallel programming called EBL is described by Reuveni ...not object-oriented, instead a program consists of a collection of modules and each module consists of a number of event ...
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Recognition of Shapes for Object Retrieval in Image Databases by Discrete Curve Evolution and Two Consecutive Primitive Edges
... any object is different from the sense of human vision, ...whole object is a difficult task without a prior knowledge about the boundary of objects or without user ...parts based on the chain-code ...
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MODEL OF STORAGE XML DATABASE BASED ON THE RELATIONAL-OBJECT MODEL
... The generation of code XML Schema should be done from a schema which complies with model XML. This part shows the different necessary steps starting from the extraction of the data of the table and types SQL to ...
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A Robust Vein Pattern-based Recognition System
... Numerous attempts have also been made in the recent past to capture vein templates and successfully employ them as recognition traits [3][11]. There are nooks and flaws with either the image processing techniques ...
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