Results 241 to 250 of about 1,931,799 (283)

Human stereovision without localized image features

Biological Cybernetics, 1995
Many theories of human stereovision are based on feature matching and the related correspondence problem. In this paper, we present psychophysical experiments indicating that localized image features such as Laplacian zerocrossings, intensity extrema, or centroids are not necessary for binocular depth perception.
Arndt, P., Mallot, H., Bülthoff, H.
openaire   +4 more sources

UWB feature localization for imaging

2008 IEEE International Conference on Ultra-Wideband, 2008
Object recognition, localization and imaging capabilities of ultra-wideband signals are demonstrated in this contribution. Resembling a bat, the experimental setup comprises one transmitter and two receivers. Instead of ultrasound, electromagnetic ultra-wideband (UWB) signals are used to recognize and localize features of the surroundings like e.g ...
Jochen Seitz, Markus Schaub, Ole Hirsch, Rudolf Zetik, Tobias Deissler, Reiner Thoma, Jorn Thielecke   +6 more
openaire   +1 more source

Fast image segmentation for local feature descriptors

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
Local feature descriptors are the most frequently used feature representation in many Computer Vision problems. In particular, high level semantic information extraction from low-level features in classification and retrieval is also quite successful. Region based approaches to classification and retrieval have become very popular.
BİLGE, HASAN ŞAKİR, Celik, Ceyhun
openaire   +2 more sources

Image Feature Localization by Multiple Hypothesis Testing of Gabor Features

IEEE Transactions on Image Processing, 2008
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recently been proposed. The methods are based on a localization of image features and a spatial constellation search over the localized features.
Ilonen, J, Kamarainen, J-K, Paalanen, P, Hamouz, M, Kittler, J, Kalviainen, H   +5 more
openaire   +3 more sources

Global localization with non-quantized local image features

Robotics and Autonomous Systems, 2012
In the field of appearance-based robot localization, the mainstream approach uses a quantized representation of local image features. An alternative strategy is the exploitation of raw feature descriptors, thus avoiding approximations due to quantization.
Campos, Francisco M., Correia, Luís, Calado, João Manuel Ferreira   +2 more
openaire   +2 more sources

Local Features for Image Retrieval

2001
Global image features, although quite successful for a surprisingly large number of queries, are nevertheless restricted in their usefulness. They are less effective when e.g. looking for other images that contain the same object or simply the same scene but seen from a very different viewpoint.
Luc Van Gool, Tinne Tuytelaars, Andreas Turina   +2 more
openaire   +1 more source

Image inpainting with local feature extraction

2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
Image inpainting is a reconfigurable reconstruction of detected (marked) areas. This study focuses on damaged images and key point-based attributes such as speeded-up robust features (SURF), scale invariant feature transformation (SIFT), Harris algorithm and features of maximally stable extremal regions (MSER) are used for this purpose.
Yildiz Aydin, Bekir Dizdaroglu
openaire   +1 more source

Image features-based mobile robot localization

2012 IEEE International Conference on Information and Automation, 2012
Accurate localization plays a pivotal role in mobile robot navigation. In this paper, we present a novel algorithm for mobile robot localization based on image features. First a novel method is proposed to extract distinctive invariant image features, which is coined PLOT (Polynomial Local Orientation Tensor).
Rui Lin, Zhenhua Wang, Rongchuan Sun, Lining Sun   +3 more
openaire   +1 more source

Local Feature Extraction in Log-Polar Images

2015
We propose two different strategies to compute edges in the log-polar (cortical) domain. The space-variant processing is obtained by applying local operators (e.g. local derivative filters) directly on the log-polar images, or by embedding the same operators into the log-polar mapping, thus obtaining a cortical representation of the Cartesian features.
CHESSA, MANUELA, SOLARI, FABIO
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Matching Image with Multiple Local Features

2010 20th International Conference on Pattern Recognition, 2010
In this paper, we present the fusional feature composed of Affine-SIFT, MSER and color moment invariants. The fusional feature is more robust and distinctive than a single local feature. Instead of adding three local features together simply, an efficient two-level matching strategy is devised with the fusional feature, which speeds up the ...
Yudong Cao, Honggang Zhang, Yanyan Gao, Xiaojun Xu, Jun Guo   +4 more
openaire   +1 more source