[PDF] Top 20 Invariant multi-scale object categorisation and recognition
Has 10000 "Invariant multi-scale object categorisation and recognition" found on our website. Below are the top 20 most common "Invariant multi-scale object categorisation and recognition".
Invariant multi-scale object categorisation and recognition
... [9], categorisation errors occurred mainly for apples and tomatoes, which can be explained by the fact that the shapes are very similar and no colour information has been ...pears, and can be ... See full document
8
Multi-scale keypoints in V1 and beyond: object segregation, scale selection, saliency maps and face detection
... developing and studying computational models. Models of simple, complex and end-stopped cells have been developed more than ten years ago (Heitger et ...Rodrigues and du Buf, 2004b; W¨ urtz ... See full document
25
The Development of Object Tracking and Recognition Algorithms for Audience Analysis System
... particular object in a video stream and automatically decide if it belongs to a particular class one should utilize a number of different machine learning techniques and algorithms, solving ... See full document
10
A fast neural-dynamical approach to scale-invariant object detection
... for object detection and recog- ...Neocognitron and HMAX models, or convolutional neural ...character recognition, has been successfully applied to object and face ... See full document
8
Two Dimensional Object Recognition Using Rajan Transform
... Pattern recognition is essentially a classification ...research and study of related techniques like Permutation Invariant Systems and Number Theory, Rajan Transform was introduced in the year ... See full document
7
Object detection and recognition in complex scenes
... of scale- invariant local shape features formed by short chains of connected straight contour segments which they call kAS, capable of cleanly encoding fragments of an object ...content and ... See full document
87
Event Detection at Vehicle Location Points using Spatial Time Invariant Model
... localization and recognition of moving objects from single monocular intensity images has been a popular issue in image analysis and computer vision over many ...and recognition. The ... See full document
6
Real-Time Object Recognition Based on Cortical Multi-scale Keypoints
... training and optimising non-linear kernels to reach such a high ...learning and real-time ...unsuitable, and our method clearly fills this ...one, and can be selected at any time during ... See full document
8
Sparse Spatial Coding: a novel approach for efficient and accurate object recognition
... Rigoutsos and Hummel [1995] describe hashing methods for recognition, which use text-based hashing as foundation and objects are modeled as a set of interest points from the ...made invariant ... See full document
78
A neuromorphic architecture for object recognition and motion anticipation using burst-STDP.
... activity and the plastic process is called at each post- synaptic ...depression and a linearly rather than exponentially decreasing weight ...[53–56], and consequently for these experiments, we ... See full document
17
Invariant Categorisation of Polygonal Objects using Multi-resolution Signatures
... query object and comparing its FV with all FVs of known objects in a ...(Saupe and Vranic, 2001; Pang et al., 2006; Sijbers and Dyck, ...3D object onto 2D curvature maps. This is ... See full document
6
Fast cortical keypoints for real-time object recognition
... state-of-the-art scale invariant detectors on the well-known repeatability bench- mark by Mikolajczyk et ...[1] and the original biological operator by Ro- drigues et ...[16] and MSER [14]. We ... See full document
6
A cortical framework for invariant object categorization and recognition
... data-driven and bottom-up, 336 and it can be combined with top-down processing from IT 337 cortex in order to actively probe the presence of objects in 338 the visual field; Deco and Rolls ...4 ... See full document
23
RECOGNITION OF SINGLE AND OVERLAY OF OBJECTS ON A CONVEYOR BELT
... This means a single-point circuit consists of points, the curvature of which can take only three values - 0º, 90º and 135º. Therefore, the determination of the value of curvature at such a circuit can be done in a ... See full document
5
Análise da eficiência de uma estratégia de codificação associativa na evocação imediata e tardia da memória contextual em idosos
... biochemical and gene expression changes in the brain, (2) functional decline of the prefrontal cortex (PFC), (3) contextual memory ...immediate and delayed contextual memory in the healthy ...A and ... See full document
46
The importance of contours for visual object recognition and discrimination
... convex and concave) were identified along the boundary contours of the cat shown in Figure ...removed and only the 45 connected points of maximal curvature remain, this drawing is still easily recognizeable ... See full document
15
Improved line/edge detection and visual reconstruction
... amplitude and scale, the size of the profile being coupled to the scale of the underlying sim- ple and complex ...rods and cones ... See full document
6
Cortical 3D face and object recognition using 2D projections
... ,QWHUQDWLRQDO-RXUQDORI&UHDWLYH,QWHUIDFHVDQG&RPSXWHU*UDSKLFV -DQXDU\-XQH UHFRJQLWLRQIUDPHZRUNFDQQRW\HWEHFRPSDUHG ZLWKRWKHUIUDPHZRUNVEHFDX[r] ... See full document
19
Multi-scale keypoints in V1 and face detection
... operators, and in particular a few partial keypoint maps that cover overlapping scale inter- vals, may provide very important information for object ...positions, and this leads to robust ... See full document
10
The Role of Capsaicin-induced Acute Inactivation of C-fibers on Tactile Learning in Rat
... tion, and impair the ability to detect differences in rough- ness ...grooming, and searching behaviors in ...withdrawal, and licking, but not non-nocifensive responses including slow body motion, ... See full document
5
temas relacionados