Results 151 to 160 of about 4,989 (196)
Real-time face keypoint detection for pre-anesthetic assessment with optimized YOLO11 model based on DeBiFormer. [PDF]
Wang D, Su J.
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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
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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
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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
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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
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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
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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
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Accelerated Keypoint Extraction
2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008Keypoints 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
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Complementary Keypoint Descriptors
2016We 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
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Keypoint detection by cascaded fast
2014 IEEE International Conference on Image Processing (ICIP), 2014When 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
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Keypoint-Based Keyframe Selection
IEEE Transactions on Circuits and Systems for Video Technology, 2013Keyframe 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
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Phase Invariant Keypoint Detection
2007 15th International Conference on Digital Signal Processing, 2007This 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
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