Results 151 to 160 of about 4,989 (196)

Multi-Scale Keypoint Matching

2020 25th International Conference on Pattern Recognition (ICPR), 2021
We propose a new hierarchical method to match keypoints by exploiting information across multiple scales. Traditionally, for each keypoint a single scale is detected and the matching process is done in the specific scale. We replace this approach with matching across scale-space.
Sina Lotfian, Hassan Foroosh
openaire   +1 more source

Robust Keypoint Detection

2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019
In keypoint regression, models are trained to consume an image and produce the x, y coordinates of some entity, e.g., a person's nose or corner of a document. Typical methods for doing so include linear regression over deep features to directly produce x, y coordinates and training networks to regress a dense heatmap around each keypoint.
Christopher Tensmeyer, Tony R. Martinez
openaire   +1 more source

Keypoint-Based Gaze Tracking

2021
Effective assisted living environments must be able to perform inferences on how their occupants interact with their environment. Gaze direction provides strong indications of how people interact with their surroundings. In this paper, we propose a gaze tracking method that uses a neural network regressor to estimate gazes from keypoints and integrates
Paris Her   +4 more
openaire   +2 more sources

Accelerated Keypoint Extraction

2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008
Keypoints have become a fundamental feature in image and video processing. This article presents a wavelet-inspired structure to speed up the keypoint extraction process. The method restricts the extraction process to high variation areas solely, deemed likely to provide keypoints.
Rémi Trichet, Bernard Mérialdo
openaire   +1 more source

Complementary Keypoint Descriptors

2016
We examine the use of complementary descriptors for keypoint recognition in digital images. The descriptors combine multiple types of information, including shape, color, and texture. We first review several keypoint descriptors and propose new descriptors that use normalized brightness/color spatial histograms.
Clark F. Olson   +3 more
openaire   +1 more source

Keypoint detection by cascaded fast

2014 IEEE International Conference on Image Processing (ICIP), 2014
When the FAST method for detecting corner features at high speed is applied to images that include complex textures (regions that include foliage, shrubbery, etc.), many corners that are not needed for object recognition are detected because FAST defines corner features on the basis of a 16-pixel bounding circle.
Takahiro Hasegawa   +4 more
openaire   +1 more source

Keypoint-Based Keyframe Selection

IEEE Transactions on Circuits and Systems for Video Technology, 2013
Keyframe selection has been crucial for effective and efficient video content analysis. While most of the existing approaches represent individual frames with global features, we, for the first time, propose a keypoint-based framework to address the keyframe selection problem so that local features can be employed in selecting keyframes.
Genliang Guan   +4 more
openaire   +1 more source

Phase Invariant Keypoint Detection

2007 15th International Conference on Digital Signal Processing, 2007
This paper introduces extensions to the complex wavelet keypoint detection paper [1], Keypoints are generated by finding local peaks in accumulated, interpolated maps of the product of magnitudes of directional complex filter responses, as in earlier work.
Anil Anthony Bharath, Nick G. Kingsbury
openaire   +1 more source

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