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Digital Eye on Endangered Wildlife: Crafting Recognition Datasets through Semi-Automated Annotation
Wildlife conservation, especially in Africa, faces significant challenges from hunting and poaching, endangering species like rhinos and elephants. Despite concerted efforts, the lack of annotated wild animal datasets has hampered the development of ...
A 3D Model Information Hiding Algorithm Based on Region of Interest Blocked Histogram Adaptive Shift
In order to improve the capacity and robustness of 3D model texture image information hiding, this paper proposes an information hiding algorithm based on the adaptive shift of the block histogram of the region of interest. Firstly, the grid ...
Smooth test for multivariate skew-elliptical distributions
Multivariate skew-elliptical distributions are often used as a flexible class for modelling asymmetric data. Based on the smooth test for uniformity on the surface of a unit sphere, a new test for multivariate skew-elliptical distributions is proposed. ...
Single-image HDR Reconstruction based on Mask-aware Convolution
Due to the hardware limitations of the sensor during camera shooting, there is loss of details in underexposed and overexposed regions of an image. Inverse tone mapping is an effective approach to extend the dynamic range of the image. To correctly ...
Quantitative Analysis of Artificial Validation Sets for Fourier Domain CT Reconstruction
In computed tomography and several related scientific domains, the Fourier slice theorem is a powerful mathematical tool to solve the problem of image reconstruction. Although this theorem is well understood in the continuous case, a detailed ...
A two-stage network based on edge information for visual anomaly detection
Reconstruction-based approaches attract increasing attention in unsupervised visual anomaly detection. Such methods rely on the assumption that reconstruction models trained using only normal images are not well reconstructed for anomalous data, so that ...
Efficient Real-Time Dense Pedestrian Detector Based on Improved YOLOv7-tiny
The state-of-the-art YOLO framework strikes an excellent balance between speed and accuracy and has become one of the most effective object detection algorithms. However, when performing dense pedestrian detection tasks, the network is computationally ...
IDMUNet : An effective network for liver tumor segmentation
Most existing approaches for medical image segmentation has been proposed, but they can't get desirable result due to the network. The classical network lose much information during downsampling process. And the medica images segmentation is easy to be ...
Face makeup transfer based on Generative Adversarial Network
The goal of the face makeup transfer algorithm is to transfer the face makeup from the specified reference image to the non-makeup face in the target image while maintaining the face structure of the target image during the transfer process. Aiming at ...
Visual Quality Assessment of HDR Omnidirectional Image System Based on Viewport Feature Learning
High dynamic range (HDR) omnidirectional image system can provide users with an immersive visual experience, but its coding, transmission and visualization processes will cause corresponding coding distortion, tone mapping distortion and mixed distortion,...
Animating Parametric Kinetic Spinner in Virtual Reality
In this paper, we present a novel approach to animating parametric kinetic spinner in virtual reality. Served for kinetic art edutainment purposes, parametric kinetic spinner is a visually captivating kinetic sculpture that can be dynamically adjusted ...
Advancements in Video-Based Insect Tracking: A Bibliometric Analysis to A Short Survey
Video-based insect tracking provides vital insights into insect behavior and ecology, enhancing our understanding of their movements and interactions. Therefore, examining trends in this field over the last few years is essential. This study aims to ...
Index Terms
- Proceedings of the 2023 7th International Conference on Advances in Image Processing