What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Computer graphics
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Iterative reconstruction and Pixel.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Algorithm and Pattern recognition.
His Computer vision study frequently draws connections between related disciplines such as Computer graphics.
His Computer graphics study incorporates themes from Image stitching, Parallax, Panorama and Visualization.
His Iterative reconstruction study combines topics in areas such as 3D reconstruction, Layer, Cluster analysis, Stereopsis and Matching.
His Pixel research includes themes of Image sensor, Frame, High dynamic range, Radiance and Stereo camera.
His most cited work include:
- A taxonomy and evaluation of dense two-frame stereo correspondence algorithms (6041 citations)
- Photo tourism: exploring photo collections in 3D (2510 citations)
- Computer Vision: Algorithms and Applications (2410 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Computer vision, Computer graphics, Pixel and Image.
His research integrates issues of Algorithm and Pattern recognition in his study of Artificial intelligence.
His studies in Algorithm integrate themes in fields like Ground truth and Mathematical optimization.
Much of his study explores Computer vision relationship to Interpolation.
His research investigates the connection with Computer graphics and areas like Video capture which intersect with concerns in Video tracking.
His Pixel research integrates issues from Image resolution, Planar, Plane and Stereopsis.
He most often published in these fields:
- Artificial intelligence (75.26%)
- Computer vision (68.30%)
- Computer graphics (28.61%)
What were the highlights of his more recent work (between 2011-2020)?
- Artificial intelligence (75.26%)
- Computer vision (68.30%)
- Computer graphics (28.61%)
In recent papers he was focusing on the following fields of study:
Richard Szeliski mostly deals with Artificial intelligence, Computer vision, Computer graphics, Rendering and Image.
Richard Szeliski has researched Artificial intelligence in several fields, including Mobile device and Pattern recognition.
Richard Szeliski combines subjects such as Representation and Virtual reality with his study of Computer vision.
His Computer graphics study combines topics in areas such as Video capture and Stereoscopy.
Richard Szeliski interconnects Augmented reality, Web crawler and Image object in the investigation of issues within Rendering.
The concepts of his Image study are interwoven with issues in Virtual image and Ranking.
Between 2011 and 2020, his most popular works were:
- Navigating images using image based geometric alignment and object based controls (224 citations)
- First-person hyper-lapse videos (147 citations)
- Image Restoration by Matching Gradient Distributions (115 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Algorithm
Richard Szeliski focuses on Artificial intelligence, Computer vision, Computer graphics, Rendering and Image stitching.
His Artificial intelligence research includes themes of Computation and Piecewise.
Richard Szeliski works mostly in the field of Computation, limiting it down to concerns involving Bundle adjustment and, occasionally, Algorithm.
His study in Image-based modeling and rendering, Pixel, Kernel, Image and Structure from motion is carried out as part of his Computer vision studies.
His Rendering research includes elements of Image resolution, Point cloud and Feature vector.
The study incorporates disciplines such as Panorama, Image stabilization and Virtual reality in addition to Image stitching.
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