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20132020
most citedMaritime situational awareness using adaptive multi-sensor management under hazy conditions

3 citations · 10 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2019

Can We Automate Diagrammatic Reasoning?

Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar +2

Learning to solve diagrammatic reasoning (DR) can be a challenging but interesting problem to the computer vision research community. It is believed that next generation pattern re…

cs.CV20181 cited

Polygonal approximation of digital planar curve using novel significant measure

Mangayarkarasi Ramaiah, Dilip K. Prasad

This paper presents an iterative smoothing technique for polygonal approximation of digital image boundary. The technique starts with finest initial segmentation points of a curve.…

cs.CV2018

Are object detection assessment criteria ready for maritime computer vision?

Dilip K. Prasad, Huixu Dong, Deepu Rajan +1

Maritime vessels equipped with visible and infrared cameras can complement other conventional sensors for object detection. However, application of computer vision techniques in ma…

cs.CV20173 cited

Maritime situational awareness using adaptive multi-sensor management under hazy conditions

D. K. Prasad, C. K. Prasath, D. Rajan +3

This paper presents a multi-sensor architecture with an adaptive multi-sensor management system suitable for control and navigation of autonomous maritime vessels in hazy and poor-…

cs.CV20171 cited

MSCM-LiFe: Multi-scale cross modal linear feature for horizon detection in maritime images

D. K. Prasad, D. Rajan, C. K. Prasath +3

This paper proposes a new method for horizon detection called the multi-scale cross modal linear feature. This method integrates three different concepts related to the presence of…

cs.CV20131 cited

Object Detection in Real Images

Dilip K. Prasad

Object detection and recognition are important problems in computer vision. Since these problems are meta-heuristic, despite a lot of research, practically usable, intelligent, rea…