Terrain Specific Real Time Pixelated Camouflage Texture Generation & its Impact Assessment

Defence science journal

article

Sachi Choudhary¹  Rashmi Sharma² 

[1] University of Petroleum & Energy Studies;Shri Vaishnav Institute of Computer Applications

关键词: Digital camouflage;    Pixelated camouflage;    Terrain classification;    Scene classification;    Color clustering;    K-means clustering;    Photo simulation;    Saliency map;   

DOI  :  10.14429/dsj.72.17599

学科分类：社会科学、人文和艺术（综合）

来源: Defence Scientific Information & Documentation Centre

【 摘 要 】

“Camouflage” is a natural or nature identical phenomenon where the sensory route of vision is delayed toavoid visual detection. Reducing detection capability and hiding in the background environment is critical for Army vehicles, equipment, and soldiers. This research aims to implement a process that will generate digital camouflage patterns specific to the terrain. The adapted digital pattern helps an object blend symmetrically into the background environment. Pixelated textures combine macro and micro designs that blend with ambient shrubs, trees, branches, and shadows. The technique presented in this paper consists of the following main modules: terrain classification model, pixelated camouflage texture generation, and texture evaluation. Experiments have been conducted to detect camouflage objects in the scene to evaluate the performance of the resultant camouflage texture generated for a natural environment. Photo simulation and saliency maps for hidden object detection have been used to evaluate the effectiveness of generated textures for a given terrain.

【 授权许可】

All Rights reserved