Computer Vision

Due to his Ph.D. thesis "Machine Perception of Three-Dimensional Solids" he is known as the father of computer vision.

Pattern recognition and computer vision can be used to track objects.

The definition of computational photography has evolved to cover a number of subject areas in computer graphics, computer vision, and applied optics.

computer vision, machine learning

machine vision for facial image analysis and sign language recognition

specializing in image processing

known for his work in image processing

In image processing, Histogram equalization is a method of contrast adjustment

directs the UCLA Computer Graphics & Vision Laborator

Marr integrated results from psychology, artificial intelligence, and neurophysiology into new models of visual processing.

SSIM is a perception-based model: it treats image degradation as a perceived change in structural information

is a scientist and researcher in digital image processing.

Non-local means is an algorithm in image processing for image denoising.

anisotropic diffusion, also called Perona-Malik diffusion, is a technique aiming at reducing image noise

Horn-Schunck method of estimating optical flow is a global method which introduces a global constraint of smoothness to solve the aperture problem (see Optical Flow for further description).

DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like appearance reminiscent of a psychedel

Detection Transformer (DETR) is an object detection algorithm that applies transformers to identify and locate objects in images.

Shih-Fu Chang (Chinese: 張世富; pinyin: Zhāng Shìfù) is a Taiwanese computer scientist and electrical engineer who is the Morris A. and Alma Schapiro Professor of Engineering at Columbia University, where he has also served as the dean of the Fu Foundation School of Engineering and Applied Science since 2022. Chang is noted for his research on multimedia information retrieval, computer vision, machine learning, and signal processing.

Block Truncation Coding Video Compression Image Processing Media Forensics

Computer vision Artificial intelligence Machine learning Discrete mathematics

Computer Vision Artificial intelligence, Machine Intelligence Visual Perception Robotics

The Sobel operator, sometimes called the Sobel-Feldman operator or Sobel filter, is used in image processing and computer vision, particularly within edge detection algorithms where it creates an image emphasizing edges.

The Harris corner detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image.

The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David Lowe in 1999.

In computer vision, speeded up robust features (SURF) is a local feature detector and descriptor, with patented applications.

Takeo Kanade (金出 武雄, Kanade Takeo; born October 24, 1945 in Hyōgo) is a Japanese computer scientist and one of the world's foremost researchers in computer vision.

He has contributed to the field of computer vision, and his work has been referenced in Wired, BBC News, The New York Times, and The New Yorker.

Cordelia Schmid (born 28 September 1967) is a computer vision researcher, currently head of the THOTH project team at INRIA (French Institute for Research in Computer Science and Automation), Montbonnot, France.

He is known for contributions to computer vision.

Paul Viola is a computer vision researcher, and Distinguished Engineer at Zoox.

Nayar is an Indian American engineer and computer scientist known for his contributions to the fields of computer vision, computational imaging, and computer graphics.

Berthold Klaus Paul Horn (born December 8, 1943) is an American scientist working in the field of artificial intelligence and computer vision.

His research spans computational geometry, computer graphics, computer vision, machine learning, and robotics, with contributions including foundational data structures, the earth mover's distance for image retrieval, Metropolis light transport, and the PointNet architecture for deep learning on point clouds.