Perceiving distance accurately by a directional process of integrating ground information
By Bing Wu, T. Ooi, Zijiang J. He. Nature, 2004
305 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/8cf5a9cc93f89097eaf4c75871c02173bcdbd2ef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- J. Bagnell
- Stéphane Ross
- Jens R. Helmert
- Rebekka S. Renner
- Boris M. Velichkovsky
- Arun Kumar Somani
- Martial Hebert
- Nicholas A. Giudice
In Human-Computer Interaction
- Jens R. Helmert
- Rebekka S. Renner
- Boris M. Velichkovsky
- Arun Kumar Somani
- Martial Hebert
- Ashutosh Saxena
- Sung H. Chung
- Jack M. Loomis
Citations in the corpus
- The perception of egocentric distances in virtual environments - A review (2013, background): “More recently, He et al. [2004]; Sinai et al. [1998]; Wu et al. [2004] demonstrated that a wide expanse of continuous and homogeneous-textured ground surface is helpful for veridical distance perception.”
- High speed obstacle avoidance using monocular vision and reinforcement learning (2005, methodology): “A number of researchers have studied how humans use monocular cues for depth estimation (Loomis, 2001; Wu et al., 2004; Blthoff et al., 1998).”
- Learning Depth from Single Monocular Images (2005, methodology): “[12] This is done using monocular cues such as texture variations, texture gradients, occlusion, known object sizes, haze, defocus, etc. [4, 13, 14] For example, many objects’ texture will look different at different distances from the viewer.”
- Learning monocular reactive UAV control in cluttered natural environments (2012, background): “The pilot’s reaction time to the drone’s behavior can lead to extra delay in the correct actions specified by the pilot.”
- Representing 3D Space in Working Memory: Spatial Images from Vision, Hearing, Touch, and Language (2013, background): “…et al. 2009 ) , redirecting gaze toward it (Medendorp et al. 2003 ) , throwing a beanbag (Sahm et al. 2005 ; Thomson 1983 ) , walking and then gesturing with the hand (Ooi et al. 2001, 2006 ; Wu et al. 2004 ) , and making a verbal report of its direction and distance (e.g., Klatzky et al. 2003 ) .”
- Monocular vision SLAM for indoor aerial vehicles (2009, methodology): “Inspired by [20], our monocular ranging algorithm attempts to learn from the human perception system, and accurately measures the absolute distance by integrating local patches of the ground information into a global surface reference frame.”