What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Computer vision
Alex Aben-Athar Kipman focuses on Computer vision, Artificial intelligence, Display device, Augmented reality and Mixed reality.
His work on Articulated body pose estimation, Pose and Pixel as part of general Computer vision research is frequently linked to Invariant and Set, bridging the gap between disciplines.
His Articulated body pose estimation study incorporates themes from k-nearest neighbors algorithm, Pattern recognition and Cognitive neuroscience of visual object recognition.
His Pattern recognition research is multidisciplinary, incorporating elements of Image resolution and Frame rate.
Alex Aben-Athar Kipman performs multidisciplinary study in the fields of Artificial intelligence and Natural via his papers.
His studies deal with areas such as Object, Pointer, Optical head-mounted display and Liquid-crystal display as well as Augmented reality.
His most cited work include:
- Real-time human pose recognition in parts from single depth images (3020 citations)
- Real-time human pose recognition in parts from single depth images (1890 citations)
- Efficient Human Pose Estimation from Single Depth Images (445 citations)
What are the main themes of his work throughout his whole career to date?
Alex Aben-Athar Kipman mainly investigates Computer vision, Artificial intelligence, Display device, Computer graphics and Object.
His work on Augmented reality, Optical head-mounted display, Field of view and Image as part of his general Computer vision study is frequently connected to Geography, thereby bridging the divide between different branches of science.
Perspective, Tracking, Gaze, Pixel and Pose are among the areas of Artificial intelligence where he concentrates his study.
As part of the same scientific family, Alex Aben-Athar Kipman usually focuses on Pose, concentrating on k-nearest neighbors algorithm and intersecting with Articulated body pose estimation.
His Display device research includes elements of Mixed reality, Multimedia, End user and User profile.
His research in Computer graphics intersects with topics in Virtual image, Track, Eye tracking and Motion.
He most often published in these fields:
- Computer vision (46.15%)
- Artificial intelligence (46.15%)
- Display device (34.62%)
What were the highlights of his more recent work (between 2012-2019)?
- Computer vision (46.15%)
- Artificial intelligence (46.15%)
- Computer graphics (32.69%)
In recent papers he was focusing on the following fields of study:
Alex Aben-Athar Kipman mostly deals with Computer vision, Artificial intelligence, Computer graphics, Display device and Mixed reality.
In the subject of general Computer vision, his work in Optical head-mounted display, Object, Pose and Pixel is often linked to Invariant, thereby combining diverse domains of study.
His study in the fields of Articulated body pose estimation and Retargeting under the domain of Artificial intelligence overlaps with other disciplines such as Experimental data and Design under test.
His Computer graphics study deals with Gesture intersecting with Point of interest.
Alex Aben-Athar Kipman has included themes like Augmented reality, Graphics, End user and Presentation in his Display device study.
The various areas that he examines in his Mixed reality study include Virtual image and Multimedia.
Between 2012 and 2019, his most popular works were:
- Real-time human pose recognition in parts from single depth images (1890 citations)
- Efficient Human Pose Estimation from Single Depth Images (445 citations)
- Indicating out-of-view augmented reality images (146 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Computer vision
His primary areas of investigation include Computer vision, Artificial intelligence, Object, Field of view and Optical head-mounted display.
His work on Pose and Articulated body pose estimation as part of general Computer vision study is frequently linked to Invariant, bridging the gap between disciplines.
His research integrates issues of Pixel, Feature extraction, Shape analysis and Cognitive neuroscience of visual object recognition in his study of Pose.
He works in the field of Artificial intelligence, namely Tracking.
His Field of view research is multidisciplinary, incorporating perspectives in User interface, Wearable computer, Human–computer interaction and See-through display.
The study incorporates disciplines such as Virtual image, Point of interest, Machine vision and Gesture in addition to Optical head-mounted display.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
