subcutaneous 发表于 2025-3-21 16:39:04
书目名称Computer Vision and Image Processing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234058<br><br> <br><br>书目名称Computer Vision and Image Processing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234058<br><br> <br><br>美食家 发表于 2025-3-21 23:52:13
A Fast and Rigid Copy Move Forgery Detection Technique Using HDBSCANand pasted within the same image to entrap the end users and distort the originality of the information. Methods introduced so far faces problems in detecting forged region present in large size image as well as images with post-processing attacks like noise, compression, rotation, scaling, translat制度 发表于 2025-3-22 02:32:42
Automated Industrial Quality Control of Pipe Stacks Using Computer Visiontphone cameras. Currently, quality inspection for bent and crooked pipe ends is done manually, which entails additional labour costs and is relatively slower than a mechanised approach. We propose an efficient and robust method of detecting the perfectly circular cross-sections of the pipes in stackcondone 发表于 2025-3-22 05:00:04
Asymmetric Wide Tele Camera Fusion for High Fidelity Digital Zoomas low light imaging and camera zoom. One such multi-camera system is a tele-wide configuration with single or multiple tele and wide cameras. The images from these multiple cameras can be fused to generate an output image with improved image quality as opposed to individual input images. Major chal继而发生 发表于 2025-3-22 12:43:37
Energy Based Convex Set Hyperspectral Endmember Extraction Algorithmignatures and abundance fractions. A novel algorithm called Energy-based Convex Set (ECS) is presented for unsupervised endmember extraction from hyperspectral data in this paper. The algorithm uses the concept of band-energy and convex geometry for extraction of endmembers. The advantage of the pro现代 发表于 2025-3-22 13:52:02
http://reply.papertrans.cn/24/2341/234058/234058_6.png现代 发表于 2025-3-22 17:49:15
Spatially Variant Laplacian Pyramids for Multi-frame Exposure Fusion intensity levels, it is often unable to produce artifact free images for applications which handle images with large intensity variation such as exposure fusion. This paper proposes a spatially varying Laplacian Pyramid Blending to blend images with large intensity differences. The proposed methodBOOR 发表于 2025-3-22 21:22:56
http://reply.papertrans.cn/24/2341/234058/234058_8.png吹牛者 发表于 2025-3-23 03:48:51
Unsupervised Single-View Depth Estimation for Real Time Inferenceof these approaches are flexible enough to be deployed in the real-time environment with limited computational capabilities. Inference latency is a major factor that limits the application of such methods to the real world scenarios where high end GPUs cannot be deployed. Six models based on three a复习 发表于 2025-3-23 05:52:43
A Novel Information Theoretic Cost Measure for Filtering Based Feature Selection from Hyperspectral ign a novel information theoretic ranking measure and further propose a greedy strategy that provides a more principled way of ranking the features. Note that the use of information theory is prevalent in the area of filtering based dimensionality reduction. However, the existing ranking measures in