Man-made object recognition based on visual perception

1998 ◽  
Vol 7 (1) ◽  
pp. 104
Author(s):  
Qigang Gao
Keyword(s):  
Object Recognition ◽  
Visual Perception

scholarly journals Visual Behavior Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics

2012 ◽  
pp. 243-272 ◽  
Author(s):  
Abd El Rahman Shabayek ◽  
Olivier Morel ◽  
David Fofi
Keyword(s):  
Computer Vision ◽  
Object Recognition ◽  
Visual Perception ◽  
Polarization Vision ◽  
Visual Behavior ◽  
Biologically Inspired ◽  
Long Time ◽  
Comprehensive Survey ◽  
High Level ◽  
And Robotics

For long time, it was thought that the sensing of polarization by animals is invariably related to their behavior, such as navigation and orientation. Recently, it was found that polarization can be part of a high-level visual perception, permitting a wide area of vision applications. Polarization vision can be used for most tasks of color vision including object recognition, contrast enhancement, camouflage breaking, and signal detection and discrimination. The polarization based visual behavior found in the animal kingdom is briefly covered. Then, the authors go in depth with the bio-inspired applications based on polarization in computer vision and robotics. The aim is to have a comprehensive survey highlighting the key principles of polarization based techniques and how they are biologically inspired.

Visual interpretation of known objects in constrained scenes

1992 ◽  
Vol 337 (1281) ◽  
pp. 361-370 ◽  
Keyword(s):  
Object Recognition ◽  
Visual Perception ◽  
Machine Vision ◽  
Recent Work ◽  
Three Dimensional ◽  
Neural Mechanisms ◽  
Visual Interpretation ◽  
Natural Vision ◽  
Analogue Models ◽  
Dynamic Filters

Recent work on the visual interpretation of traffic scenes is described which relies heavily on a priori knowledge of the scene and position of the cam era, and expectations about the shapes of vehicles and their likely movements in the scene. Knowledge is represented in the computer as explicit three-dimensional geometrical models, dynamic filters, and descriptions of behaviour. Model-based vision, based on reasoning with analogue models, avoids many of the classical problems in visual perception: recognition is robust against changes in the image of shape, size, colour and illumination. The three-dimensional understanding of the scene which results also deals naturally with occlusion, and allows the behaviour of vehicles to be interpreted. The experiments with machine vision raise questions about the part played by perceptual context for object recognition in natural vision, and the neural mechanisms which might serve such a role.

EEG frequency and the size of cognitive neuronal assemblies

2000 ◽  
Vol 23 (3) ◽  
pp. 413-414 ◽  
Author(s):  
Astrid von Stein ◽  
Johannes Sarnthein
Keyword(s):  
Object Recognition ◽  
Visual Perception ◽  
Cognitive Functions ◽  
Cortical Area ◽  
Short Term Memory ◽  
Short Term ◽  
Spectral Parameters ◽  
Term Memory ◽  
Neuronal Assemblies ◽  
Target Article

We have performed a set of experiments that correlate EEG spectral parameters with cognitive functions. The tasks (visual perception, supramodal object recognition, short-term memory) were chosen so that the cortical area involved extended over different length scales. The extent of the cognitive neuronal assemblies correlated inversely with the frequency where EEG synchronization was found. This provides a further relation between experiment and the theory put forward in the Nunez target article.

scholarly journals Cross-task perceptual learning of object recognition in simulated retinal implant perception

2018 ◽  
Author(s):  
Lihui Wang ◽  
Fariba Sharifian ◽  
Jonathan Napp ◽  
Carola Nath ◽  
Stefan Pollmann
Keyword(s):  
Object Recognition ◽  
Visual Perception ◽  
Discrimination Task ◽  
Recognition Performance ◽  
Naming Task ◽  
Task Context ◽  
Retinal Implant ◽  
Task Order ◽  
Correct Object ◽  
Task Training

AbstractThe perception gained by retina implants (RI) is limited, which asks for a learning regime to improve patients’ visual perception. Here we simulated RI vision and investigated if object recognition in RI patients can be improved and maintained through training. Importantly, we asked if the trained object recognition can be generalized to a new task context, and to new viewpoints of the trained objects. For this purpose, we adopted two training tasks, a naming task where participants had to choose the correct label out of other distracting labels for the presented object, and a discrimination task where participants had to choose the correct object out of other distracting objects to match the presented label. Our results showed that, despite of the task order, recognition performance was improved in both tasks and lasted at least for a week. The improved object recognition, however, can be transferred only from the naming task to the discrimination task but not vice versa. Additionally, the trained object recognition can be transferred to new viewpoints of the trained objects only in the naming task but not in the discrimination task. Training with the naming task is therefore recommended for RI patients to achieve persistent and flexible visual perception.

Must Figure-Ground Organization Precede Object Recognition? An Assumption in Peril

1994 ◽  
Vol 5 (5) ◽  
pp. 253-259 ◽  
Author(s):  
Mary A. Peterson ◽  
Bradley S. Gibson
Keyword(s):  
Object Recognition ◽  
Visual Perception ◽  
Shape Recognition ◽  
Ground Segmentation ◽  
Ground Organization

The assumption that figure-ground segmentation must precede object or shape recognition has been central to theories of visual perception We showed that assumption to be incorrect in an experiment in which observers reported the first perceived figure-ground organization of briefly exposed stimuli depicting two regions sharing a figure-ground border We manipulated the symmetry of the two regions and their orientation-dependent denotivity (roughly, their meaningfulness), and measured how each of these variables influenced figure-ground reports when the stimuli were exposed for 14, 28, 57, 86, or 100 ms, and followed immediately by a mask Influences on figure-ground organization from both symmetry and orientation-dependent object recognition processes were found, both were observed first in the 28-ms condition Object recognition inputs did not dominate symmetry inputs We suggest that object recognition processes may operate simultaneously on both sides of edges detected before figure-ground relationships are determined

scholarly journals When Action Observation Facilitates Visual Perception: Activation in Visuo-Motor Areas Contributes to Object Recognition

2014 ◽  
Vol 25 (9) ◽  
pp. 2907-2918 ◽  
Author(s):  
Eun-Jin Sim ◽  
Hannah B. Helbig ◽  
Markus Graf ◽  
Markus Kiefer
Keyword(s):  
Object Recognition ◽  
Visual Perception ◽  
Action Observation ◽  
Motor Areas

Visual Recognition as Controlled Search of Complicated Fragments

Perception ◽  
1996 ◽  
Vol 25 (1_suppl) ◽  
pp. 89-89
Author(s):  
V M Krol
Keyword(s):  
Object Recognition ◽  
Visual Search ◽  
Visual Perception ◽  
Visual Recognition ◽  
Visual Image ◽  
Parallel Analysis ◽  
Parallel Search ◽  
Geometric Figures ◽  
Parallel Lines ◽  
Different Levels

We tested the hypothesis that object recognition is an active search of complicated fragments in the visual image. This search is performed in accordance with criteria based on invariant descriptions of an object's perceptual class. The basic strategy is to activate these descriptions during parallel search. ‘Upper’ segments search for appropriate fragments of the picture. ‘Subordinate’ segments are included by request of the ‘upper’ segments. Description segments include three types of records: integral (whole) characteristics of some fragment; characteristics of fragments which are members of this fragment; and characteristics of relations between the fragments. This structure of perceptual description permits parallel analysis of the visual scene by different segments by the ‘autonomy’ principle and permits the use of incomplete sets of segments for recognition by the ‘quorum’ principle. Different ways of forming connections between segment records may be considered as ‘thinking’ components of visual perception. The main points of our model follow from results of our tachistoscopic experiments. We measured thresholds for the recognition of test figures. Different levels of figure complexity were used: parallel lines and strips, geometric figures, schematic faces, textures, etc. It was found that the stages of the recognition process are connected with types of operations described in our model. These results give rise to the possibility that the properties of the neurons involved in visual search might be identified.

Neuropsychological studies of object recognition

1982 ◽  
Vol 298 (1089) ◽  
pp. 15-33 ◽  
Keyword(s):  
Object Recognition ◽  
Visual Perception ◽  
Visual Impairment ◽  
Right Hemisphere ◽  
Visual Stimuli ◽  
Perceptual Categorization ◽  
Tentative Model ◽  
The Right ◽  
Ground Organization

It is well established that disorders of visual perception are associated with lesions in the right hemisphere. Performances on tasks as disparate as the identification of objects from unusual views or objects drawn so as to overlap, of fragmented letters, of familiar faces, and of anomalous features in drawings, have been shown to be impaired in patients with focal right posterior lesions. A series of investigations are reviewed, directed towards analysing the basis of these deficits. Explanations in terms of primary visual impairment can be rejected, as can an account in terms of faulty figure-ground organization. It is argued that a wide variety of such perceptual deficits - all of which are concerned with meaningful visual stimuli - can be encompassed by the notion of faulty perceptual categorization at an early post-sensory stage of object recognition. Moreover, there is evidence suggesting that some of these various perceptual deficits can be mutually dissociated. The concept of perceptual categorization is discussed in the wider context of a tentative model of object recognition.

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