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Papers Interest Point Detection

“Interest Point Detection” 태그가 달린 논문 26편 · 필터 해제

Saliency, Scale and Information: Towards a Unifying Theory

2015-12-01 · NeurIPS 2015 12 · Shafin Rahman, Neil Bruce

In this paper we present a definition for visual saliency grounded in information theory. This proposal is shown to relate to a variety of classic research contributions in scale-space theory, interest point detection, b…

Interest Point Detection

Cluster-Based Point Set Saliency

2015-12-01 · ICCV 2015 12 · Flora Ponjou Tasse, Jiri Kosinka, Neil Dodgson

We propose a cluster-based approach to point set saliency detection, a challenge since point sets lack topological information. A point set is first decomposed into small clusters, using fuzzy clustering. We evaluate clu…

ClusteringInterest Point DetectionKeypoint DetectionSaliency Detection

Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector

2015-03-24 · Qiang Zhang, Yilin Wang, Baoxin Li

Visual saliency, which predicts regions in the field of view that draw the most visual attention, has attracted a lot of interest from researchers. It has already been used in several vision tasks, e.g., image classifica…

Anomaly DetectionForeground Segmentationimage-classificationImage Classification+4

3D Interest Point Detection via Discriminative Learning

2013-12-24 · Leizer Teran, Philippos Mordohai

The task of detecting the interest points in 3D meshes has typically been handled by geometric methods. These methods, while greatly describing human preference, can be ill-equipped for handling the variety and subjectiv…

Binary ClassificationInterest Point Detection

Hollywood 3D: Recognizing Actions in 3D Natural Scenes

2013-06-01 · CVPR 2013 6 · Simon Hadfield, Richard Bowden

Action recognition in unconstrained situations is a difficult task, suffering from massive intra-class variations. It is made even more challenging when complex 3D actions are projected down to the image plane, losing a …

Action RecognitionBenchmarkingInterest Point DetectionTemporal Action Localization

Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition

2013-03-25 · Andres Sanin, Conrad Sanderson, Mehrtash T. Harandi, Brian C. Lovell

We propose a new action and gesture recognition method based on spatio-temporal covariance descriptors and a weighted Riemannian locality preserving projection approach that takes into account the curved space formed by …

General ClassificationGesture RecognitionInterest Point Detection
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