Seeing Things in Random-Dot Videos

@article{Dags2019SeeingTI,
  title={Seeing Things in Random-Dot Videos},
  author={Thomas Dag{\`e}s and Michael Lindenbaum and Alfred Marcel Bruckstein},
  journal={ArXiv},
  year={2019},
  volume={abs/1907.12195}
}
Humans possess an intricate and powerful visual system in order to perceive and understand the environing world. Human perception can effortlessly detect and correctly group features in visual data and can even interpret random-dot videos induced by imaging natural dynamic scenes with highly noisy sensors such as ultrasound imaging. Remarkably, this happens even if perception completely fails when the same information is presented frame by frame rather than in a video sequence. We study this… 

References

SHOWING 1-10 OF 110 REFERENCES
On salience and non-accidentalness : comparing human vision to a contrario algorithms
TLDR
This thesis provides a rigorous validation of the a-contrario theory's relevance to estimate visual thresholds and implement visual tasks in computer vision and reinforces the importance of the non-accidentalness principle in human vision.
On the Role of Structure in Vision
Abstract People are able to perceive structure in images, apart from the perception of tri-dimensionality, and apart from the recognition of familiar objects. We impose organization on data (noticing
Motion Perception: From Detection to Interpretation.
TLDR
This work highlights the recent progress in research on the perception of material and on animacy perception and considers possible linking mechanisms of the two levels of motion perception, and proposes intrinsic flow decomposition as the key problem.
Computational gestalts and perception thresholds
TLDR
It is shown that gestalt grouping laws can be translated into quantitative laws allowing the automatic computation of gestalts in digital images, and two preliminary sets of experiments are described, where the gestalt detection performance of several subjects with the predictable detection curve are compared.
Spatio-temporal differentiation and integration in visual motion perception
TLDR
A complex vector analysis of the proximal motion pattern is accomplished at the initial stage of physiological signal recording and that it is a consequence of receptive field organization is indicated in terms of vector calculus.
The functional architecture of human visual motion perception
TLDR
A powerful paradigm is combined with several subsidiary paradigms (interocular presentation, stimulus superpositions with varying phases, and attentional manipulations) to determine the functional architecture of visual motion perception: the nature of the various mechanisms of motion perception and their relations to each other.
Three-systems theory of human visual motion perception: review and update.
  • Z. L. Lu, G. Sperling
  • Computer Science, Medicine
    Journal of the Optical Society of America. A, Optics, image science, and vision
  • 2001
TLDR
A review and reanalysis of the new evidence, pro and con, resolves the challenges and yields a more clearly defined and significantly strengthened theory.
Abstract Shape Representation in Human Visual Perception
TLDR
Evidence is provided for the existence, emergence, and functional importance of abstract shape representations in visual perception, compared with “deep learning” systems and with proposals that deny the importance ofstract representations in human perception and cognition.
Detecting a trajectory embedded in random-direction motion noise
TLDR
The data suggest that trajectory motion is highly detectable in motion noise because the component local motion signals are enhanced when motion detectors with similar directional tuning are stimulated in a sequence along their preferred direction.
Some informational aspects of visual perception.
  • F. Attneave
  • Psychology, Medicine
    Psychological review
  • 1954
TLDR
Special types of lawfulness which may exist in space at a fixed time, and which seem particularly relevant to processes of visual perception are focused on.
...
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