Building the gist of a scene: The role of global image features in recognition
A Oliva, A Torralba - Progress in brain research, 2006 - Elsevier
Humans can recognize the gist of a novel image in a single glance, independent of its
complexity. How is this remarkable feat accomplished? On the basis of behavioral and …
complexity. How is this remarkable feat accomplished? On the basis of behavioral and …
Memory: Enduring traces of perceptual and reflective attention
MM Chun, MK Johnson - Neuron, 2011 - cell.com
Attention and memory are typically studied as separate topics, but they are highly
intertwined. Here we discuss the relation between memory and two fundamental types of …
intertwined. Here we discuss the relation between memory and two fundamental types of …
Rapid biologically-inspired scene classification using features shared with visual attention
We describe and validate a simple context-based scene recognition algorithm for mobile
robotics applications. The system can differentiate outdoor scenes from various sites on a …
robotics applications. The system can differentiate outdoor scenes from various sites on a …
How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: a two-stage framework
Our review of research on PET and fMRI neuroimaging of experts and expertise acquisition
reveals two apparently discordant patterns in working-memory-related tasks. When experts …
reveals two apparently discordant patterns in working-memory-related tasks. When experts …
Biologically inspired mobile robot vision localization
We present a robot localization system using biologically inspired vision. Our system models
two extensively studied human visual capabilities:(1) extracting the ldquogistrdquo of a …
two extensively studied human visual capabilities:(1) extracting the ldquogistrdquo of a …
Saliency and gist features for target detection in satellite images
Z Li, L Itti - IEEE Transactions on Image Processing, 2010 - ieeexplore.ieee.org
Reliably detecting objects in broad-area overhead or satellite images has become an
increasingly pressing need, as the capabilities for image acquisition are growing rapidly …
increasingly pressing need, as the capabilities for image acquisition are growing rapidly …
Biologically inspired feature manifold for scene classification
Biologically inspired feature (BIF) and its variations have been demonstrated to be effective
and efficient for scene classification. It is unreasonable to measure the dissimilarity between …
and efficient for scene classification. It is unreasonable to measure the dissimilarity between …
Testing cognitive models of visual attention with fMRI and MEG
Neuroimaging techniques can be used not only to identify the neural substrates of attention,
but also to test cognitive theories of attention. Here we consider four classic questions in the …
but also to test cognitive theories of attention. Here we consider four classic questions in the …
Biologically-inspired robotics vision monte-carlo localization in the outdoor environment
We present a robot localization system using biologically-inspired vision. Our system models
two extensively studied human visual capabilities:(1) extracting the" gist" of a scene to …
two extensively studied human visual capabilities:(1) extracting the" gist" of a scene to …
Color biological features-based solder paste defects detection and classification on printed circuit boards
Deposited solder paste inspection plays a critical role in surface mounting processes. When
detecting solder pastes defects on a printed circuit board, profile measurement-based …
detecting solder pastes defects on a printed circuit board, profile measurement-based …