Proceedings ArticleDOI
Three-dimensional object recognition based intelligence system for identification
Chiranji Lal Chowdhary,Kanguana Muatjitjeja,Dharm Singh Jat +2 more
- pp 162-166
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TLDR
This paper presents a three-dimensional object recognition system based intelligence system to identify individuals and shows how knowledge is acquired, how objects are appearing and an image to be identified from those objects.Abstract:
If we compare the object recognition abilities of human and computer-based system, it is much complex task for a machine. Human brain can recognize an object quickly but for a computer system accuracy depends on the level of algorithms, software and tools used for recognition. Image processing, pattern recognition and compute vision are being challenging but becomes a crucial component for developing such a computer system in the modern digital world. Last four decades many researchers offered many algorithms to recognize objects from an image. If knowledge is acquired, how objects are appearing and an image to be identified from those objects. The intelligent system must be able to recognize different objects from the scenes or images. In this paper, we present a three-dimensional object recognition system based intelligence system to identify individuals.read more
Citations
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Journal ArticleDOI
Analytical Study of Hybrid Techniques for Image Encryption and Decryption.
Chiranji Lal Chowdhary,Pushpam Virenbhai Patel,Krupal Jaysukhbhai Kathrotia,Muhammad Attique,P. Kumaresan,Muhammad Fazal Ijaz +5 more
TL;DR: The metric measurement with test cases finds that ECC and HC have a good overall solution for image encryption, and ECC with AES are perfect for remote or private communications with smaller image sizes based on the amount of time needed for encryption and decryption.
Book ChapterDOI
Application of Object Recognition With Shape-Index Identification and 2D Scale Invariant Feature Transform for Key-Point Detection
TL;DR: In this chapter, scale-invariant feature extraction and shape-index depiction are used on a range of images for identifying objects and with use of shift-index + SIFT descriptors, the authors are finding better accuracy at the classification stage.
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Deep Learning Techniques to Classify and Analyze Medical Imaging Data
TL;DR: An improved conceptual framework for classifying medicinal anatomy images using CNNs is proposed and the CNNs architecture is expected to outperform the previous three architectures in classifying medical images.
Implementation of Augmented Reality applications to recognize Automotive Vehicle using Microsoft HoloLens : Performance comparison of Vuforia 3-D recognition and QR-code recognition Microsoft HoloLens applications
TL;DR: Volvo Construction Equipment is planning to use Microsoft Hololens as a tool for the on-site manager to keep a track on the automotive machines and obtain their corresponding work informat ...
Book ChapterDOI
Simple Linear Iterative Clustering (SLIC) and Graph Theory-Based Image Segmentation
TL;DR: A scheme to develop the image over-segmentation task is introduced in this chapter and the main contribution is to provide a method for extracting superpixels with greater adherence to the edges of the regions.
References
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Proceedings ArticleDOI
A Combined Corner and Edge Detector
Chris Harris,Mike Stephens +1 more
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Journal ArticleDOI
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Journal ArticleDOI
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Book ChapterDOI
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