Neural architectures for stereo vision by Parker, A, Smith, J, Krug, K

“…By contrast, in the extrastriate cortical area V5/MT, which has a specialized architecture for stereo depth, the module for representation of stereo is about 1mm in surface extent, so the representation of stereo in V5/MT is more compressed than V1 in terms of neural wiring of the neocortex. …”

Constraints on human stereo dot matching. by Harris, J, Parker, A

“…Statistical efficiency was used as a model-free measure of stereo performance to explore how well human observers perform for a range of stereoscopic stimuli with varying amounts of added disparity noise. …”

Electromechanically reconfigurable terahertz stereo metasurfaces by Prakash, S, Pitchappa, P, Agrawal, P, Jani, H, Zhao, Y, Kumar, A, Thong, J, Linke, J, Ariando, A, Singh, R, Venkatesan, T

NOTE ON SMALL-ANGLE APPROXIMATIONS FOR STEREO DISPARITY by Smith, S

“…A new formula for the stereo disparity field from two tilting, gazing and verging cameras is derived and shown to include terms previously ignored. …”

Computing stereo channels from masking data. by Glennerster, A, Parker, A

“…Using this approach, we reach the conclusion that the peak of the internal masking function for stereo detection coincides with the signal spatial frequency over the whole range tested (1.7-11.6 c/deg). …”

Computing stereo channels from masking data by Glennerster, A, Parker, A

RECOVERING RANGE USING VIRTUAL MULTICAMERA STEREO by Murray, D

“…The recovery method can be regarded as either structure from known motion or as multicamera stereo. Also described are the principles of a device comprising of a static camera and rotating plane mirror that enables the same method of range recovery, but with significant benefits in terms of mechanical simplicity and compactness. © 1995 Academic Press. …”

THE PERCEPTION OF STEREO DEPTH IN BANDPASS-FILTERED IMAGES by Mansfield, J, Parker, A

INVESTIGATION OF THE ORDERING CONSTRAINT IN HUMAN STEREO VISION by Parker, A, Yang, Y

SPATIAL PROPERTIES OF STEREO DISPARITY POOLING IN HUMAN-VISION by Parker, A, Yang, Y

COMPARING THE EFFICIENCY OF HUMAN STEREOPSIS WITH THAT OF A STEREO-ALGORITHM by Harris, J, Parker, A

A constant-time efficient stereo SLAM system by Mei, C, Sibley, G, Cummins, M, Newman, P, Reid, I

“…In this article, we investigate the precision that can be achieved with only local estimation of motion and structure provided by a stereo pair. We introduce a simple but novel representation of the environment in terms of a sequence of relative locations. …”

Spatial properties of disparity pooling in human stereo vision. by Parker, A, Yang, Y

A stereo vision-based aid for the visually impaired by Molton, N, Se, S, Brady, J, Lee, D, Probert, P

“…The system combines an obstacle detection system designed tor AGVs with recalibration of ground position and a Kalman Filter based model of the person's walking movement. The system uses stereo vision. Obstacle detection is achieved through comparison of the disparity seen with that expected from the position of the ground. …”

Overestimation of stereo thresholds by the TNO stereotest is not due to global stereopsis by Vancleef, K, Read, J, Herbert, W, Goodship, N, Woodhouse, M, Serrano-Pedraza, I

“… <h4>Purpose</h4> <p>It has been repeatedly shown that the TNO stereotest overestimates stereo threshold compared to other clinical stereotests. …”

Choosing Where To Go: Complete 3D Exploration With Stereo by Shade, R, Newman, P, IEEE

“…This paper is about the autonomous acquisiti of detailed 3D maps of a-priori unknown environments using stereo camera - it is about choosing where to go. …”

Transfer of fixation using affine structure: Extending the analysis to stereo by Fairley, S, Reid, I, Murray, D

“…This paper describes an algorithm for maintaining fixation upon a 3D body-centred point using 3D affine transfer, extending an earlier monocular method to stereo cameras. Transfer is based on corners detected in the image and matched over time and in stereo. …”

Joint optimization for object class segmentation and dense stereo reconstruction by Ladický, L, Sturgess, P, Russell, C, Sengupta, S, Bastanlar, Y, Clocksin, W, Torr, PHS

“…The problems of dense stereo reconstruction and object class segmentation can both be formulated as Random Field labeling problems, in which every pixel in the image is assigned a label corresponding to either its disparity, or an object class such as road or building. …”

HOW MANY SPATIAL-FREQUENCY TUNED CHANNELS ARE THERE FOR HUMAN STEREO VISION by Glennerster, A, Parker, A

Do vertical stereo disparities allow the recovery of absolute viewing distance? by Cumming, BG, Johnston, E, Parker, A