Filters








12,910 Hits in 9.8 sec

Vision as Computation, or: Does a Computer Vision System Really Assign Meaning to Images? [chapter]

Andreas Schierwagen
2001 Integrative Systems Approaches to Natural and Social Dynamics  
A conceptual framework for image understanding that is widely accepted is based on Marr's concept of visual perception as computational process (Marr 1982) .  ...  Computer vision (or image understanding) is generally defined as the construction of explicit, meaningful descriptions of the structure and the properties of the 3-dimensional world from 2dimensional images  ...  Marr's concept of visual perception as a computational process.  ... 
doi:10.1007/978-3-642-56585-4_37 fatcat:zogxkozylbffhc445z5s6jpp4u

Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation [article]

Christian A. Mueller, Andreas Birk
2018 arXiv   pre-print
manner. ii) A topology analysis of the description space is used in which segment decompositions are exposed in.  ...  Our approach is two-fold: i) a spatial topology analysis of point cloud segment constellations within objects is used in which constellations are decomposed and described in a hierarchical and symbolic  ...  H is based on a graphical representation of visual word constellations which are denoted as motifs; note that these constellations can only contain visual words of a specific description level.  ... 
arXiv:1811.08165v1 fatcat:7vsjia3bxzcbrf7haz2um72fz4

NEUROCOMPUTATIONAL MODELLING OF DISTRIBUTED LEARNING FROM VISUAL STIMULI

Ankush Rai, Jagadeesh Kannan R
2017 Asian Journal of Pharmaceutical and Clinical Research  
modulation, (ii) relation betweengaze movements and visual perception, (iii) mechanism of selective stimulus processing and its encoding in neuronal cells, and (iv) mechanism ofvisual perception through  ...  detailed algorithmic descriptions.  ...  INTRODUCTION Visual perception is one of the fundamental tasks in machine vision. Many recognition algorithms have been proposed in computer science area [1] [2] [3] [4] [5] .  ... 
doi:10.22159/ajpcr.2017.v10s1.19645 fatcat:jwsy5tl74fhifaysg634rcghim

Perception as Unconscious Inference [chapter]

Gary Hatfield
2005 Perception and the Physical World  
It then focuses on the literal theories, and assesses their resources for responding to three problems that arise when visual perception is explained as resulting from unconscious inference: the cognitive  ...  Since antiquity, visual theorists have variously proposed that perception (usually vision) results from unconscious inference.  ...  He separated the knowledge relevant to perception into two divisions: immediate stimulus based information, and unconscious descriptions, concepts, and rules (1983, p. 302) .  ... 
doi:10.1002/0470013427.ch5 fatcat:qg4w2nok55gozioythzzwihfqy

Surface Interpolation in Three-Dimensional Structure-from-Motion Perception

Masud Husain, Stefan Treue, Richard A. Andersen
1989 Neural Computation  
For the structured stimulus (E) 126 or 12 points were first randomly plotted on a two-dimensional surface (A).  ...  of computing shape from specific cues in the visual image.  ... 
doi:10.1162/neco.1989.1.3.324 fatcat:nsef5r4ubbfapnikfrfgubew5u

Research on Saliency Prior Based Image Processing Algorithm

Zhouping Yin, Hongmei Zhang
2014 Journal of Multimedia  
Therefore, this paper researched saliency prior based image processing model, present the Gaussian mixture process and design the feature point based classifier, and then evaluate the model by supervised  ...  Finally, a set of experiments were designed to demonstrate the effectiveness of this paper designed saliency prior based image processing model.  ...  As previously mentioned, image recognition which based on the classic machine learning theory is divided into two parts: Feature description and Characteristic judgment.  ... 
doi:10.4304/jmm.9.2.294-301 fatcat:engsho3uozam7eqxvkdrt6wsc4

Learning semantic components from subsymbolic multimodal perception

Olivier Mangin, Pierre-Yves Oudeyer
2013 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL)  
the semantic association between the two.  ...  with a symbolic representation of the semantics.  ...  ACKNOWLEDGEMENT The authors would like to specially thank Louis ten Bosch for providing detailed explanation on his previous work on NMF with language and direct help for producing HAC features from the  ... 
doi:10.1109/devlrn.2013.6652563 dblp:conf/icdl-epirob/ManginO13 fatcat:ali2vrrjancmlaidik4xbgzore

Conceptualization of Object Compositions Using Persistent Homology [article]

Christian A. Mueller, Andreas Birk
2018 arXiv   pre-print
Therein constellations are decomposed and described in an hierarchical manner - from single segments to segment groups until a single group reflects an entire object. ii) a topology analysis of the description  ...  Our approach is two-fold: i) a spatial topology analysis of point cloud segment constellations within objects.  ...  H is based on a graphical representation of visual word constellations which are denoted as motifs; note that these constellations can only contain visual words of a specific description level.  ... 
arXiv:1803.02140v3 fatcat:dz73pfzogjgbzpqsap2zdlytvu

Multi-View Data Visualization Based Big Data Analysis Using Clustering Similarity Measure

Srinivasa Rao Madala, Rajavarman V N, Venkata Satya Vivek T
2017 International Journal of Engineering and Technology  
Using multi-viewpoint, we can achieve assessment based similarity index with data visualization. Using multi viewpoint, we present theoretical analysis based on multi attributes presentation.  ...  There are many types of data visualization are presented practically to define data analysis (i.e. topic based data visualization, attribute based data visualization, audio based data visualization and  ...  II.  ... 
doi:10.21817/ijet/2017/v9i3/1709030284 fatcat:fqfszjomlfhethhk6gwties3yu

A Journey from basic Image Features to Lofty Human Intelligence in Content-based Image Retrieval: Motivation, Applications and Future Trends

2020 International journal of recent technology and engineering  
CBIR system is generally based on the extraction of basic image attributes like texture, color, shape, spatial information, etc. from an image.  ...  This paper presents a detailed study about the various basic techniques with an emphasis on different intelligent techniques like, the usage of machine learning, deep learning, relevance feedback, etc.  ...  Shape: Shape is symbolized as one of the most important features of an image. They are broadly classified into contour based and region based.  ... 
doi:10.35940/ijrte.b4011.079220 fatcat:aedu4uzoxrhafhab46ordfxm2m

Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions [article]

Christian A. Mueller, Andreas Birk
2018 arXiv   pre-print
Therein surface description and representation of object shape structure have significant influence on shape categorization accuracy, when dealing with real-world scenes featuring noisy, partial and occluded  ...  Experiments include the evaluation of the proposed description and shape decomposition approach, and comparisons to Fast Point Feature Histograms, a Vocabulary Tree and a neural network-based Deep Learning  ...  In order to visualize the |Y|-dimensional space of stimuli we make use of the t-SNE [33] embedding method to reduce the dimensionality to two.  ... 
arXiv:1804.01117v1 fatcat:e267kxvqofe5vnf65p4mpjraea

A multimodal learning interface for grounding spoken language in sensory perceptions

Chen Yu, Dana H. Ballard
2004 ACM Transactions on Applied Perception  
From those items, an EM-based method is developed to select correct word-meaning pairs.  ...  In light of studies of human language development, the learning system is trained in an unsupervised mode in which users perform everyday tasks while providing natural language descriptions of their behaviors  ...  Lucian Galescu provided valuable suggestions about speech perception. Brian Sullivan was a great help in building the experimental system. This material is based upon work supported by  ... 
doi:10.1145/1008722.1008727 fatcat:7b6gzuyidzbvpotwpn63xsgm3i

CLEVRER: CoLlision Events for Video REpresentation and Reasoning [article]

Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum
2020 arXiv   pre-print
While these models thrive on the perception-based task (descriptive), they perform poorly on the causal tasks (explanatory, predictive and counterfactual), suggesting that a principled approach for causal  ...  We evaluate various state-of-the-art models for visual reasoning on our benchmark.  ...  In other words, descriptive questions require strong perception and logic operations on both visual and language signals.  ... 
arXiv:1910.01442v2 fatcat:5t3rceq24rffjkdi4nmongam3q

Transforming Structured Descriptions To Visual Representations. An Automated Visualization Of Historical Bookbinding Structures

Alberto Campagnolo, Athanasios Velios, Nicholas Pickwoad
2015 Zenodo  
This research project aims to produce a methodology to transform automatically verbal descriptions of material objects, with a focus on bookbinding structures, into standardized and scholarly-sound visual  ...  Also, none of these projects has attempted to develop a general methodology to ascertain the minimum amount ii of information that is required for successful verbal-to-visual transformations for material  ...  In that case what depends on the context is the perception of what the two circles symbolize, not the perception of their shape.  ... 
doi:10.5281/zenodo.1462133 fatcat:jyoongfboffjhevsokutuiguja

A multimodal learning interface for grounding spoken language in sensory perceptions

Chen Yu, Dana H. Ballard
2003 Proceedings of the 5th international conference on Multimodal interfaces - ICMI '03  
From those items, an EM-based method is developed to select correct word-meaning pairs.  ...  In light of studies of human language development, the learning system is trained in an unsupervised mode in which users perform everyday tasks while providing natural language descriptions of their behaviors  ...  Lucian Galescu provided valuable suggestions about speech perception. Brian Sullivan was a great help in building the experimental system. This material is based upon work supported by  ... 
doi:10.1145/958432.958465 dblp:conf/icmi/YuB03 fatcat:moi3pp7swjctrpy6amho4zbqv4
« Previous Showing results 1 — 15 out of 12,910 results