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Chapter and Conference Paper
Biologically Inspired Vision for Human-Robot Interaction
Human-robot interaction is an interdisciplinary research area that is becoming more and more relevant as robots start to enter our homes, workplaces, schools, etc. In order to navigate safely among us, robots ...
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Chapter and Conference Paper
Real-Time Object Recognition Based on Cortical Multi-scale Keypoints
In recent years, a large number of impressive object categorisation algorithms have surfaced, both computational and biologically motivated. While results on standardised benchmarks are impressive, very few of...
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Chapter and Conference Paper
A Biological and Real-Time Framework for Hand Gestures and Head Poses
Human-robot interaction is an interdisciplinary research area that aims at the development of social robots. Since social robots are expected to interact with humans and understand their behavior through gestu...
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Chapter and Conference Paper
Detection of Indoor and Outdoor Stairs
There are a few applications in which stairs must be detected, for example for aiding blind persons during navigation and for autonomous robots which must rely on vision. In this paper we present a very simple...
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Chapter and Conference Paper
Retrieval of 3D Polygonal Objects Based on Multiresolution Signatures
In this paper we present a method for retrieving 3D polygonal objects by using two sets of multiresolution signatures. Both sets are based on the progressive elimination of object’s details by iterative proces...
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Chapter and Conference Paper
Using Mathematical Morphology for Similarity Search of 3D Objects
In this paper we use the erosion and dilation operators for characterizing 3D polygonal objects. The goal is to perform a similarity search in a set of distinct objects. The method applies successive dilations...
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Article
A cortical framework for invariant object categorization and recognition
In this paper we present a new model for invariant object categorization and recognition. It is based on explicit multi-scale features: lines, edges and keypoints are extracted from responses of simple, comple...
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Chapter and Conference Paper
Invariant Multi-scale Object Categorisation and Recognition
Object recognition requires that templates with canonical views are stored in memory. Such templates must somehow be normalised. In this paper we present a novel method for obtaining 2D translation, rotation a...
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Chapter and Conference Paper
Face Recognition by Cortical Multi-scale Line and Edge Representations
Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. Models of visual perception are based on image representations in cortical area V1 a...
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Chapter and Conference Paper
Multi-scale Keypoints in V1 and Face Detection
End-stopped cells in cortical area V1, which combine outputs of complex cells tuned to different orientations, serve to detect line and edge crossings (junctions) and points with a large curvature. In this pap...
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Chapter and Conference Paper
Visual Cortex Frontend: Integrating Lines, Edges, Keypoints, and Disparity
We present a 3D representation that is based on the processing in the visual cortex by simple, complex and end-stopped cells. We improved multiscale methods for line/edge and keypoint detection, including a me...
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Chapter and Conference Paper
Computational Cortical Cell Models for Continuity and Texture
Area V1 and higher areas in the visual cortex contain many feature extraction engines that serve to build a symbolic image representation. In this paper we present models of cells that complement a multiscale ...
