Object recognition
Probability and Common-Sense: Tandem Towards Robust Robotic Object Recognition in Ambient Assisted Living
... robust object recognition ...in recognition systems aiming to efficiently exploit contex- tual relations among objects, also dealing with the uncertainty inherent to the robot ...a recognition ...
6
Online Context-based Object Recognition for Mobile Robots
... robotic object recognition system that takes advantage of the contextual information latent in human-like environments in an online ...proposed recognition system relies on an anchoring process for ...
6
Category level visual object recognition using novel machine learning techniques
... current object recognition ...for object relations, such as (Choi et ...of object can change dramatically for different types of ...informative object, therefore under a suitable PGM ...
125
Sparse KNN a method for object recognition over x ray images using KNN based in sparse reconstruction
... Object recognition in X rays images is not a trivial ...the object is always visible, as much as any other object present in the image at all times, therefore, more than obstruct the image ...
58
Approach to an FPGA embedded, autonomous object recognition system: run-time learning and adaptation
... pattern recognition, security applications and robot control have been chosen for the task of object recognition within this ...the recognition of ...
12
UPGMpp: a Software Library for Contextual Object Recognition
... Abstract. Object recognition is a cornerstone task towards the scene understanding ...for recognition systems exploiting contextual information, in- cluding a variety of inference methods based on ...
14
Algoritmo masivamente paralelo de reconocimiento de objetos basado en el paradigma de la corteza visual artificialMassively parallel object recognition algorithm based on the paradigm of artificial visual cortex
... and object detection in real ...of object recognition, and together get a recognition accuracy as good as that achieved in other studies of the state of the art, and is said to be inspired by ...
192
Deep Learning for Object Recognition in picking tasks
... In our current setup, we have employed a BAXTER (by rethink robotics) robot with specifically designed grippers for the picking and stowing task. The mounting for BAXTER has also been modified for the given task. Apart ...
49
Cómputo evolutivo como enfoque en la descripción del contenido de la imagen aplicado a la segmentación y el reconocimiento de objetosEvolutionary computation for image content description applied to image segmentation and object recognition
... The ability to analyse and describe the image content from real or designed scenarios is a challenge and an attractive task for computer vision. This work presents two evolutionary algorithms which analyse the image ...
126
Visual vocabularies for category level object recognition
... In this thesis, we will evaluate our visual vocabularies and categorisation algorithms on different datasets recently used in the literature. This chapter starts introducing the variety of datasets used within the ...
171
Postsynaptic dysfunction is associated with spatial and object recognition memory loss in a natural model of Alzheimer's disease
... experiments examining synaptic function and memory have not been carried out in such models. A promising candidate model for sporadic AD is the rodent Octodon degus (degus), which naturally develops the histochemical ...
6
Reconocimiento de clases de objetos basado en texturas mediante algoritmos genéticosClass object recognition based on textures by genetic algorithms
... expression recognition and the object recognition, which can be included like class object ...class object recognition using the characteristics of these texture ...the ...
157
Estudio y análisis comparativo de diferentes sistemas invariantes de reconocimiento de objetosStudy and comparative analysis of different invariant object recognition systems
... pattern recognition methodologies invariant to position scale and rotation based in correlation were implemented: nonlinear correlation with scale transform, vectorial signatures and binary ...their ...
108
Neural processing of emotional facial and semantic expressions in euthymic bipolar disorder (BD) and its association with theory of mind (ToM)
... of object recognition though stimulus type (ST: faces, words or simultaneous face-word) and valence (positive ...of object recognition and emotional ...
12
Experimental support system for visual recognition and object nomination
... visual recognition of ...in object recognition. Conclusions. The volume object properties could allow the exploration of characteristics that the photographs would not ...and object ...
14
Research Article Language and Visual Perception Associations: Meta-Analytic Connectivity Modeling of Brodmann Area 37
... Although previous studies have indirectly analyzed in neu- rological samples the functionality of BA37 using functional MRI (fMRI) and diffusion tensor imaging (DTI) [52–54] their results have limited generalizability ...
15
Developing Robust Scalable Objects with OOP
... an object-oriented language, and just because you use an object-oriented programming language doesn’t mean that your code is ...write object-oriented software was always available with ...
11
Toleration as Asymmetric Recognition
... In my understanding, reasons for toleration are the same that urge us to publicly recognise minority claims (through policies of accommodation), but they are less relevant, that is not strong enough to justify a change ...
24
A Statistical LearningPattern Recognition Glossary
... Constructing new features which are the principal components of a data set. The principal components are random variables of maximal variance constructed from linear combinations of the input features. Equivalently, they ...
23
Pattern recognition glossary pdf
... distribution of a single variable, making the representation well suited to Gibbs sampling. Specifying all of the conditional distributions completely determines the joint distribution of the variables. This is a very ...
23
