Jovan Kemp Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

faculty

3 h-index 17 pubs 56 cited

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Biography and Research Information

OverviewAI-generated summary

Dr. Jovan Kemp's research investigates visual perception and processing, with a particular focus on depth perception. His work spans ophthalmology and visual impairment studies, including glaucoma and retinal disorders, as well as color science applications. Kemp's recent publications explore how humans perceive depth from various visual cues, such as texture and disparity, challenging probabilistic models of cue integration. He has also investigated the role of sensory uncertainty in 3D vision and examined how motion parallax influences slant discrimination, demonstrating the importance of retinal gradients. Kemp's work advances understanding of visual attention, saliency detection, and the underlying mechanisms of 3D perception.

Metrics

  • h-index: 3
  • Publications: 17
  • Citations: 56

Selected Publications

  • 3D slant discrimination in motion parallax depends on retinal gradients and not distal slant (2025) DOI
  • Sensory uncertainty does not drive perceptual discriminability in 3D vision (2024) DOI
  • Discrimination thresholds reflect task-related, cognitive processes rather than cue uncertainty in depth perception (2024) DOI
  • Warping a disparity field: cooperation between shading and disparity for sparsely defined surfaces (2023) DOI
  • Just-Noticeable Differences do not reflect depth cue uncertainty: Evidence from depth discrimination between motion and disparity stimuli (2023) DOI
  • On Human-like Biases in Convolutional Neural Networks for the Perception of Slant from Texture (2023) DOI
  • Stereopsis and Distance Representation for Action in Pictorial Space (2021) DOI
  • 3D cue remapping resulting from experienced variability of scene parameters (2021) DOI
  • Just Noticeable Differences in 3D Shape Perception: A Measure of Estimation Noise or Cue Gain? (2021) DOI
  • The comparison makes a difference: What to choose when measuring the Just Noticeable Difference of a 3D cue-conflicting standard (2021) DOI

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