In this paper, we propose a hierarchical outlier detection algorithm for robust feature tracking; the algorithm uses a simple window-based correlation (NCC) and�...
the angular constraints. The remaining outliers are detected by enforcing scale constraints using SIFT descriptors. The proposed algorithm is efficient and�...
In this paper, we propose a hierarchical outlier detection algorithm for robust feature tracking; the algorithm uses a simple window-based correlation (NCC) and�...
Efficient Feature Tracking for Scene Recognition using Angular and Scale Constraints � Sensor fusion of range and reflectance data for outdoor scene analysis.
Feature extraction is a key step of scene recognition. In recent years, a number of feature extraction approaches for scene recognition have been proposed.
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The proposed algorithm is efficient and particularly useful for scene recognition, in which an image corresponding to a query image is searched among data�...
Efficient, event-driven feature extraction and unsupervised object ... Low-Power Dynamic Object Detection and Classification With Freely Moving Event Cameras,
Apr 12, 2024 � This paper focuses on improving object detection performance by addressing the issue of image distortions, commonly encountered in uncontrolled�...
This paper presents a new approach using visual features to efficiently represent a series of locations along a path in an indoor environment,�...
This paper proposes an efficient approach that combines spatial and temporal visual descriptors, sparse feature tracking, and neural networks for efficient�...