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Biological Cybernetics

, Volume 112, Issue 4, pp 291–303 | Cite as

Place recognition from distant landmarks: human performance and maximum likelihood model

  • Hanspeter A. Mallot
  • Stephan Lancier
Original Article

Abstract

We present a simple behavioral experiment on human place recognition from a configuration of four visual landmarks. Participants were asked to navigate several paths, all involving a turn at one specific point, and while doing so incidentally learned the position of that turning point. In the test phase, they were asked to return to the turning point in a reduced environment leaving only the four landmarks visible. Results are compared to two versions of a maximum likelihood model of place recognition using either view-based or depth-based cues for place recognition. Only the depth-based model is in good qualitative agreement with the data. In particular, it reproduces landmark configuration-dependent effects of systematic bias and statistical error distribution as well as effects of approach direction. The model is based on a place code (depth and bearing of the landmarks at target location) and an egocentric working memory of surrounding space including current landmark position in a local, map-like representation. We argue that these elements are crucial for human place recognition.

Keywords

Spatial cognition Place recognition Maximum likelihood model 

Notes

Acknowledgements

We grateful to Marie Admard, Marcel Dorer, Isa-Maria Gross, Amanda Link, and Niklas Schulze for help with the data collection.

References

  1. Batschelet E (1981) Circular statistics in biology. Academic Press, LondonGoogle Scholar
  2. Berens P (2009) Circstat: a MATLAB toolbox for circular statistics. J Stat Softw 31(10):1–21CrossRefGoogle Scholar
  3. Burgess N, O’Keefe J (1996) Neuronal computations underlying the firing of place cells and their role in navigation. Hippocampus 6:749–762CrossRefPubMedGoogle Scholar
  4. Byrne P, Becker S, Burgess N (2007) Remembering the past and imagining the future: a neural model of spatial memory and imagery. Psychol Rev 114:340–375CrossRefPubMedPubMedCentralGoogle Scholar
  5. Cartwright BA, Collett TS (1983) Landmark learning in bees. J Comp Physiol 115:521–543CrossRefGoogle Scholar
  6. Cheng K (1986) A purely geometric module in the rat’s spatial representation. Cognition 23:149–178CrossRefPubMedGoogle Scholar
  7. Cheung A, Stürzl W, Zeil J, Cheng K (2008) The information content of panoramic images II: view-based navigation in nonrectangular experimental arenas. J Exp Psychol Anim Behav Process 34:15CrossRefPubMedGoogle Scholar
  8. Da Silva JA (1985) Scales for perceived egocentric distance in a large open field: comparison of three psychophysical methods. Am J Psychol 98:119–144CrossRefPubMedGoogle Scholar
  9. Doeller CF, Burgess N (2008) Parallel striatal and hippocampal systems for landmarks and boundaries in spatial memory. Proc Natl Acad Sci 105:5915–5920CrossRefPubMedGoogle Scholar
  10. Fleer D, Möller R (2017) Comparing holistic and feature-based visual methods for estimating the relative pose of mobile robots. Robot Auton Syst 89:51–74CrossRefGoogle Scholar
  11. Frankenstein J, Mohler BJ, Bülthoff HH, Meilinger T (2012) Is the map in our head oriented north? Psychol Sci 23:120–125CrossRefPubMedGoogle Scholar
  12. Franz MO, Schölkopf B, Mallot HA, Bülthoff HH (1998) Where did I take that snapshot? Scene-based homing by image matching. Biol Cybern 79:191–202CrossRefGoogle Scholar
  13. Gilinsky AS (1951) Perceived size and distance in visual space. Psychol Rev 58:460–482CrossRefPubMedGoogle Scholar
  14. Gillner S, Weiß AM, Mallot H (2008) Visual place recognition and homing in the absence of feature-based landmark information. Cognition 109:105–122CrossRefPubMedGoogle Scholar
  15. Graham M, Good M, McGregor A, Pearce JM (2006) Spatial learning based on the shape of the environment is influenced by properties of the objects forming the shape. J Exp Psychol Anim Behav Process 32:44–59CrossRefPubMedGoogle Scholar
  16. Gootjes-Dreesbach L, Pickup LC, Fitzgibbon AW, Glennerster A (2017) Comparison of view-based and reconstruction-based models of human navigational strategy. J Vis 17(9):11CrossRefPubMedGoogle Scholar
  17. Hermer L, Spelke ES (1994) A geometric process for spatial reorientation in young children. Nature 370:57–59CrossRefPubMedGoogle Scholar
  18. Jacobs WJ, Laurance HE, Thomas KGF (1997) Place learning in virtual space I: acquisition, overshadowing, and transfer. Learn Motiv 28:521–541CrossRefGoogle Scholar
  19. Jetzschke S, Ernst MO, Froehlich J, Boeddeker N (2017) Finding home: landmark ambiguity in human navigation. Front Behav Neurosci 11:132CrossRefPubMedPubMedCentralGoogle Scholar
  20. Kuipers B (2000) The spatial semantic hierarchy. Artif Intell 119:191–233CrossRefGoogle Scholar
  21. Learmonth AE, Newcombe NS, Huttenlocher J (2001) Toddlers’ use of metric information and landmarks to reorient. J Exp Child Psychol 80:225–244CrossRefPubMedGoogle Scholar
  22. Loomis JM, Da Silva JA, Fujita N, Fukusima SS (1992) Visual space perception and visually directed action. J Exp Psychol Hum Percept Perform 18:906–921CrossRefPubMedGoogle Scholar
  23. Loomis JM, Klatzky RL, Giudice NA (2013) Representing 3D space in working memory: spatial images from vision, hearing, touch, and language. In: Lacey S, Lawson R (eds) Multisensory imagery: theory and applications. Springer, New York, pp 131–156CrossRefGoogle Scholar
  24. Meilinger T, Frankenstein J, Simon N, Bülthoff HH, Bresciani JP (2016) Not all memories are the same: situational context influences spatial recall within one’s city of residency. Psychon Bull Rev 23:246–252CrossRefPubMedGoogle Scholar
  25. Mou W, McNamara TP (2002) Intrinsic frames of reference in spatial memory. J Exp Psychol Learn Mem Cogn 28:162–170CrossRefPubMedGoogle Scholar
  26. Möller R, Vardy A (2006) Local visual homing by matched-filter descent in image distances. Biol Cybern 95:413–430CrossRefPubMedGoogle Scholar
  27. Ooi TL, He ZJ (2007) A distance judgement function based on space perception mechanisms: revisiting Gilinsky’s (1951) equation. Psychol Rev 114:441–454CrossRefPubMedGoogle Scholar
  28. Papi F (ed) (1992) Animal homing. Chapman & Hall, LondonGoogle Scholar
  29. Philbeck JW, Loomis JM (1997) Comparison of two indicators of perceived egocentric distance under full-cue and reduced-cue conditions. J Exp Psychol Hum Percept Perform 23:72–75CrossRefPubMedGoogle Scholar
  30. Pickup LC, Fitzgibbon AW, Glennerster A (2013) Modelling human visual navigation using multiview scene reconstruction. Biol Cybern 107:449–464.  https://doi.org/10.1007/s00422-013-0558-2 CrossRefPubMedPubMedCentralGoogle Scholar
  31. Röhrich W, Hardiess G, Mallot HA (2014) View-based organization and interplay of spatial working and long-term memories. PLoS ONE 9(11):e112793.  https://doi.org/10.1371/journal.pone.0112793 CrossRefPubMedPubMedCentralGoogle Scholar
  32. Stürzl W, Cheung A, Cheng K, Zeil J (2008) The information content of panoramic images I: the rotational errors and the similarity of views in rectangular experimental arenas. J Exp Psychol Anim Behav Process 34:1–14CrossRefPubMedGoogle Scholar
  33. Waller D, Loomis JM, Golledge RG, Beall AC (2000) Place learning in humans: the role of distance and direction information. Spat Cognit Comput 2:333–354CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute for NeurobiologyUniversity of TübingenTübingenGermany
  2. 2.WettstettenGermany

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