(The following topics include but are not limited to)
Track 1: Computer Vision
Computer Graphics Based on Images
Computational Vision Theory
Video Image Analysis
Graphical Modeling
Image Processing, Image Acquisition, Image Segmentation
Medical Image Processing Human-computer interaction
Three-dimensional and structural
Virtualized storage
Visualization of big data
Virtualization principles
Three-dimensional and surface reconstruction
Motion detection
Machine vision
Data mining technology Face recognition
Track 2: Image Recognition
Image feature extraction (SIFT, HOG, ORB, deep learning features)
Image retrieval, hash encoding and large-scale similarity search
Image classification, fine-grained image recognition and zero-sample/small-sample learning
Text detection and recognition in images (OCR), scene text recognition
Remote sensing image target recognition, land cover classification and change detection
Disease lesion recognition and segmentation in medical images (CT, MRI, X-ray, pathology)
Face recognition, expression recognition, age estimation and live body detection
Applications of image recognition in industrial quality inspection, security, retail and other fields
Track 3: Image Processing
Image denoising, deblurring, dehazing, super-resolution reconstruction
Image enhancement, contrast/color correction, low-light enhancement
Image restoration, image completion and content filling
Image compression, encoding and efficient storage and transmission
Image fusion (multi-exposure, multi-focus, infrared/visible light)
Video stabilization, frame rate up-conversion, motion estimation and compensation
Image segmentation, edge detection, morphological processing
Image quality evaluation, no-reference image quality assessment ……