The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.
3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey
Abstract
3D object recognition in cluttered scenes is a rapidly growing research area. Based on the used types of features, 3D object recognition methods can broadly be divided into two categories-global or local feature based methods. Intensive research has been done on local surface feature based methods as they are more robust to occlusion and clutter which are frequently present in a real-world scene. This paper presents a comprehensive survey of existing local surface feature based 3D object recognition methods. These methods generally comprise three phases: 3D keypoint detection, local surface feature description, and surface matching. This paper covers an extensive literature survey of each phase of the process. It also enlists a number of popular and contemporary databases together with their relevant attributes.
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Cites
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Dynamic Graph CNN for Learning on Point Clouds
Wang, Y., Sun, Y., Liu, Z., Sarma, S. E., Bronstein, M. M., & Solomon, J. M. (2019) · ACM Transactions on Graphics · doi:10.1145/3326362 · Cited by 7,199
A Comprehensive Performance Evaluation of 3D Local Feature Descriptors
Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J., & Kwok, N. M. (2016) · International Journal of Computer Vision · doi:10.1007/s11263-015-0824-y · Cited by 555
Self-citationOpromolla, R., Fasano, G., Rufino, G., & Grassi, M. (2017) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.07.001 · Cited by 330
Pose estimation for spacecraft relative navigation using model-based algorithms
Opromolla, R., Fasano, G., Rufino, G., & Grassi, M. (2017) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2017.2650785 · Cited by 127
Pictures in Your Mind: Using Interactive Gesture-Controlled Reliefs to Explore Art
Reichinger, A., Carrizosa, H. G., Wood, J., Schröder, S., Löw, C., Luidolt, L. R., Schimkowitsch, M., Fuhrmann, A., Maierhofer, S., & Purgathofer, W. (2018) · ACM Transactions on Accessible Computing · doi:10.1145/3155286 · Cited by 34
Metadata
- Authors
- Guo, Y., Bennamoun, M., Sohel, F., Lu, M., & Wan, J.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2014-11-01
- Volume
- 36
- Issue
- 11
- Pages
- 2270-2287
- ISSN
- 0162-8828 (ISSN-L)
- 2160-9292
- 1939-3539
- OpenAlex
- W2007200979
- Cited by
- 600
- References
- 119
- FWCI
- 53.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Guo, Y., Bennamoun, M., Sohel, F., Lu, M., & Wan, J. (2014). 3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2014.2316828
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