3D object recognition and classification: a systematic literature review
In this paper, we present a systematic literature review concerning 3D object recognition and
classification. We cover articles published between 2006 and 2016 available in three …
classification. We cover articles published between 2006 and 2016 available in three …
Symmetrical SURF and its applications to vehicle detection and vehicle make and model recognition
Speeded-Up Robust Features (SURF) is a robust and useful feature detector for various
vision-based applications but it is unable to detect symmetrical objects. This paper proposes …
vision-based applications but it is unable to detect symmetrical objects. This paper proposes …
Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track
S Kim, J Lee - Pattern Recognition, 2012 - Elsevier
This paper presents a novel mathematical method for incoming target detection in a
cluttered background motivated by the robust properties of the human visual system (HVS) …
cluttered background motivated by the robust properties of the human visual system (HVS) …
SpringerBriefs in Computer Science
This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …
source to many destinations, or from many sources to many destinations. Multicast is …
[HTML][HTML] MSGC: Multi-scale grid clustering by fusing analytical granularity and visual cognition for detecting hierarchical spatial patterns
Spatial clustering is a widely used data mining method for discovery of spatial aggregation
pattern. However, existing methods often neglect scale dependence, impeding the full …
pattern. However, existing methods often neglect scale dependence, impeding the full …
Fusion of local and global features for effective image extraction
Image extraction methods rely on locating interest points and describing feature vectors for
these key points. These interest points provide different levels of invariance to the …
these key points. These interest points provide different levels of invariance to the …
Deep image sensing and retrieval using suppression, scale spacing and division, interpolation and spatial color coordinates with bag of words for large and complex …
Intelligent and efficient image retrieval from versatile image datasets is an inevitable
requirement of the current era. Primitive image signatures are vital to reflect the visual …
requirement of the current era. Primitive image signatures are vital to reflect the visual …
Heterogeneous Gray‐Temperature Fusion‐Based Deep Learning Architecture for Far Infrared Small Target Detection
J Ryu, S Kim - Journal of Sensors, 2019 - Wiley Online Library
This paper proposes the end‐to‐end detection of a deep network for far infrared small target
detection. The problem of detecting small targets has been a subject of research for decades …
detection. The problem of detecting small targets has been a subject of research for decades …
Multi-modal brain fingerprinting: A manifold approximation based framework
This work presents an efficient framework, based on manifold approximation, for generating
brain fingerprints from multi-modal data. The proposed framework represents images as …
brain fingerprints from multi-modal data. The proposed framework represents images as …
Robust feature point matching by preserving local geometric consistency
We present a method for matching feature points robustly across widely separated images.
In general, it is difficult to match feature points correctly by using only the similarity between …
In general, it is difficult to match feature points correctly by using only the similarity between …