Active vision
By Yiannis Aloimonos, I. Weiss, A. Bandyopadhyay. International Journal of Computer Vision, 2004
973 citations recorded by the source corpus.
Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/e65d5ca2a2efe6f5756f579029def41fac4b374e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Graphics and Computer-Aided Design
- Andrew Zisserman
- David G. Lowe
- Richard Szeliski
- Noah Snavely
- Kristen Grauman
- Xiaogang Wang
- Dinesh Jayaraman
- S. M. Seitz
In Computer Vision and Pattern Recognition
- Kristen Grauman
- Luc Van Gool
- Ming-Hsuan Yang
- Jitendra Malik
- Trevor Darrell
- Andrew Zisserman
- Xiaogang Wang
- Dacheng Tao
Citations in the corpus
- 1 On what it means to see , and what we can do about it (2008, neutral): “Both the feasibility of and the need for an explicit and sweeping reconstruction of the geometry of the visual world have been subsequently questioned (Aloimonos et al., 1988; Bajcsy, 1988).”
- Deep active object recognition by joint label and action prediction (2015, background): “There are a variety of approaches to active object recognition, the goal of which is to re-position sensors or change the environment so that the new inputs to the system become less ambiguous for label prediction [1, 2, 19].”
- Revisiting active perception (2016, background): “Aloimonos et al. (1988) add further structure to the concept: An observer is called activewhen engaged in some kind of activity whose purpose is to control the geometric parameters of the sensory apparatus.”
- Egocentric recognition of handled objects: Benchmark and analysis (2009, background): “Many of these efforts can be viewed as in line with the active vision paradigm [2].”
- Distinctive Image Features from Scale-Invariant Keypoints (2004, methodology): “The Moravec detector was improved by Harris and Stephens (1988) to make it more repeatable under small image variations and near edges.”
- Interactive Perception: Leveraging Action in Perception and Perception in Action (2016, methodology): “One example is models of multiview or perspective geometry for camera sensors [14], [124].”
- AutoFocus: Efficient Multi-Scale Inference (2018, neutral): “Human vision is foveal and active [1, 20].”
- The Curious Robot: Learning Visual Representations via Physical Interactions (2016, background): “This is similar to the idea of active vision [33,34].”
- On scene interpretation with description logics (2006, background): “This principle is well known from work on Active Vision [20] and knowledgebased attention mechanisms [21].”
- Color indexing (1991, background): “Similar ideas have recently been expressed using the terms active perception (Bajcsy 1985, 1988), active vision (Aloimonos et al. 1988; Aloimonos 1990), qualitative vision (Nelson 1989, 1991), inexact vision (Thompson 1986), and dynamic vision (Dickmanns 1988).”
- Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems (2016, background): “Moreover, placing a vision sensor on the robot arm increases the sensor’s field of view and reduces the effect of occlusions [1].”
- A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers (2022, background): “[8] were the first to study and analyze the problem of active perception (also referred to as active information acquisition [9]) in the late 1990s.”