City Research Online

Items where Author is "Basaru, R. R."

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Basaru, R. R., Child, C. H. T., Alonso, E. & Slabaugh, G. G. (2018). Conditional Regressive Random Forest Stereo-based Hand Depth Recovery. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 614-622. doi: 10.1109/ICCVW.2017.78

Basaru, R. R., Slabaugh, G. G., Alonso, E. & Child, C. H. T. (2018). Data-driven Recovery of Hand Depth using Conditional Regressive Random Forest on Stereo Images. IET Computer Vision, 12(5), pp. 666-678. doi: 10.1049/iet-cvi.2017.0227

Basaru, R. R. (2018). Robust hand pose recognition from stereoscopic capture. (Unpublished Doctoral thesis, City, University of London)

Basaru, R. R., Child, C. H. T., Alonso, E. & Slabaugh, G. G. (2017). Hand Pose Estimation Using Deep Stereovision and Markov-chain Monte Carlo. Paper presented at the International Conference on Computer Vision Workshop on Observing and Understanding Hands in Action, 23 Oct 2017, Venice, Italy.

Slabaugh, G. G., Child, C. H. T., Alonso, E. & Basaru, R. R. (2016). HandyDepth: Example-based Stereoscopic Hand Depth Estimation using Eigen Leaf Node Features. Paper presented at the International Conference on Systems, Signals and Image Processing, 23-25 May 2016, Bratislava, Slovakia.

Asad, M., Gentet, E., Basaru, R. R. & Slabaugh, G. G. (2015). Generating a 3d hand model from frontal color and range scans. In: 2015 IEEE International Conference on Image Processing (ICIP). International Conference on Image Processing, 27-09-2015 - 30-09-2015, Quebec City, Canada. doi: 10.1109/ICIP.2015.7351676

Slabaugh, G. G., Basaru, R. R., Child, C. H. T. & Alonso, E. (2015). Quantized Census for Stereoscopic Image Matching. Paper presented at the Second International Conference on 3D Vision (3DV 2014), 08-12-2014 - 11-12-2014, Tokyo, Japan.

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