An intelligent bill of quantities retrieval algorithm based on an improved BM25 algorithm, Word2vec, K-means, and a dynamic weighting algorithm based on cosine similarity has been suggested as a means to enhance both ...
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This paper proposes a new strategy for embedding secret information into QR codes based on module unit cell splitting techniques. This strategy splits unit cells, selects sub-cells, and makes small adjustments to thei...
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images in complex scenes are prone to cross-obscuration of people, which brings great challenges to multi-person human pose estimation. Previous multi-person human pose estimation algorithms suffer from limited accura...
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The existing helmet detection algorithm is mainly based on a single-stage object detection algorithm, which has high detection speed and can achieve the requirement of real-time detection. Still, the accuracy of detec...
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As a type of two-dimensional barcode widely used in various scenarios, a QR code is an image composed of square black and white modules arranged in a specific way to record information. This paper proposes a method fo...
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QR codes, as a widely employed technology for information transmission, have gained significant popularity in diverse fields owing to their convenient means of transfer, robust error correction mechanisms, rapid decod...
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Code Division Multiple Access (CDMA) utilizes orthogonal matrices to transmit data without interference. Building upon this concept, this paper introduces a multi-layer secret message hiding mechanism for QR codes bas...
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image stitching is a technique in which multiple overlapping images of the scene are stitched together to generate an image with a wide view and high resolution. image stitching methods can be broadly classified into ...
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image stitching is a technique in which multiple overlapping images of the scene are stitched together to generate an image with a wide view and high resolution. image stitching methods can be broadly classified into feature-based and deep learning methods. Feature-based methods use manually designed features to establish transformation relationships between multiple images. This technology has played an important role in medical, industrial, military, and other fields. With the rise of deep learning in computervision, it has also become the mainstream method in the field of image stitching. This article provides a systematic literature review of image stitching techniques applied on the plane and 3-D models for both feature-based and deep learning methods. We divide the stitching methods into two categories, namely, mosaic stitching methods for generating stitched plane images and panoramic stitching methods for generating stitched panoramic images. Based on the camera type, it is further divided into pinhole camera plane stitching methods, pinhole camera panoramic stitching methods, fisheye camera panoramic stitching methods, and light field camera plane stitching methods. An extensive search was conducted in internationalconference on imageprocessing (ICIP), IEEE Transactions on imageprocessing (TIP), internationalconference on computervision (ICCV), European conference on computervision (ECCV), IEEE conference on computervision and Pattern Recognition (CVPR), British Machine visionconference (BMVC), internationalconference on Pattern Recognition (ICPR), international Journal of computervision (IJCV), IEEE/ASME internationalconference on Advanced Intelligent Mechatronics (AIM), IEEE Transactions on Intelligent Transportation Systems (ITS), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), and ACM SIGGRAPH computer Graphics (SIGGRAFH) to summarize related image stitching techniques;89 articles are selected for systematic literatur
In rendering, low complexity 3D meshes can result in aliasing at the shadow terminator. This study aims to develop a novel mesh decimation algorithmthat maintains a smooth shadow terminator. By concentrating on region...
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The main scientific results of the 16th internationalconference on Pattern Recognition and Information processing (PRIP-2023), Minsk, Republic of Belarus, October 2023, are reviewed and analyzed. The history of this ...
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The main scientific results of the 16th internationalconference on Pattern Recognition and Information processing (PRIP-2023), Minsk, Republic of Belarus, October 2023, are reviewed and analyzed. The history of this series of conferences is outlined, and its significant role in the development of the theory and practice of image analysis, pattern recognition, and artificial intelligence is indicated. A list of articles in the special issue is provided, prepared from reports selected by the PRIP-2023 Program Committee.
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