Add to ORKGModels of visual perception are based on image representations in cortical area V1 and higher areas which contain many cell layers for feature extraction. Basic simple, complex and end-stopped cells provide input for line, edge and keypoint detection. In this paper we present an improved method for multi-scale line/edge detection based on simple and complex cells. We illustrate the line/edge representation for object reconstruction, and we present models for multi-scale face (object) segregation and recognition that can be embedded into feedforward dorsal and ventral data streams (the “what” and “where” subsystems) with feedback streams from higher areas for obtaining translation, rotation and scale invariance
Hypercolumns in area V1 contain frequency- and orientation-selective simple and complex cells for l...
The primary visual cortex employs simple, complex and end-stopped cells to create a scale space of 1...
We are developing a frontend that is based on the image representation in the visual cortex and pla...
Models of visual perception are based on image representations in cortical area V1 and higher areas...
Empirical studies concerning face recognition suggest that faces may be stored in memory by a few c...
In this paper we present an improved scheme for line and edge detection in cortical area V1, based o...
Lines and edges provide important information for object categorization and recognition. In addition...
Empirical studies concerning face recognition suggest that faces may be stored in memory by a few ca...
In this paper we present an improved model for line and edge detection in cortical area V1. This mod...
End-stopped cells in cortical area V1, which combine outputs of complex cells tuned to different ori...
In this paper we present an improved scheme for line and edge detection in cortical area V1, based o...
We present a 3D representation that is based on the pro- cessing in the visual cortex by simple, co...
End-stopped cells in cortical area V1, which combine out- puts of complex cells tuned to different ...
Empirical studies concerning face recognition suggest that faces may be stored in memory by a few c...
Most biological approaches to disparity extraction rely on the disparity energy model (DEM). In thi...
Hypercolumns in area V1 contain frequency- and orientation-selective simple and complex cells for l...
The primary visual cortex employs simple, complex and end-stopped cells to create a scale space of 1...
We are developing a frontend that is based on the image representation in the visual cortex and pla...
Models of visual perception are based on image representations in cortical area V1 and higher areas...
Empirical studies concerning face recognition suggest that faces may be stored in memory by a few c...
In this paper we present an improved scheme for line and edge detection in cortical area V1, based o...
Lines and edges provide important information for object categorization and recognition. In addition...
Empirical studies concerning face recognition suggest that faces may be stored in memory by a few ca...
In this paper we present an improved model for line and edge detection in cortical area V1. This mod...
End-stopped cells in cortical area V1, which combine outputs of complex cells tuned to different ori...
In this paper we present an improved scheme for line and edge detection in cortical area V1, based o...
We present a 3D representation that is based on the pro- cessing in the visual cortex by simple, co...
End-stopped cells in cortical area V1, which combine out- puts of complex cells tuned to different ...
Empirical studies concerning face recognition suggest that faces may be stored in memory by a few c...
Most biological approaches to disparity extraction rely on the disparity energy model (DEM). In thi...
Hypercolumns in area V1 contain frequency- and orientation-selective simple and complex cells for l...
The primary visual cortex employs simple, complex and end-stopped cells to create a scale space of 1...
We are developing a frontend that is based on the image representation in the visual cortex and pla...