Curvature-based range image classification for object recognition

2000 ◽  
Author(s):  
Jan Boehm ◽  
Claus Brenner
Keyword(s):  
Object Recognition ◽  
Image Classification ◽  
Range Image

scholarly journals SAL-Net: Self-Supervised Attribute Learning for Object Recognition and Segmentation

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shu Yang ◽  
JingWang ◽  
Sheeraz Arif ◽  
Minli Jia ◽  
Shunan Zhong
Keyword(s):  
Object Recognition ◽  
Image Classification ◽  
Semantic Segmentation ◽  
Experimental Results ◽  
Loss Functions ◽  
Learning Methods ◽  
Object Region ◽  
Triplet Loss ◽  
Attribute Learning ◽  
The Relationship

Existing attribute learning methods rely on predefined attributes, which require manual annotations. Due to the limitation of human experience, the predefined attributes are not capable enough of providing enough description. This paper proposes a self-supervised attribute learning (SAL) method, which automatically generates attribute descriptions by differentially occluding the object region to deal with the above problems. The relationship between attributes is formulated with triplet loss functions and is utilized to supervise the CNN. Attribute learning is used as an auxiliary task of a multitask image classification and segmentation network, in which self-supervision of attributes motivates the CNN to learn more discriminative features for the main semantic tasks. Experimental results on public benchmarks CUB-2011 and Pascal VOC show that the proposed SAL-Net can obtain more accurate classification and segmentation results without additional annotations. Moreover, the SAL-Net is embedded into a multiobject recognition and segmentation system, which realizes instance-aware semantic segmentation with the help of a region proposal algorithm and a fusion nonmaximum suppression algorithm.

scholarly journals Range Image Matching for Object Recognition in Real Scene

2004 ◽  
Vol 40 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Kagehiro NAGAO ◽  
Takayuki OKATANI ◽  
Koichiro DEGUCHI
Keyword(s):  
Object Recognition ◽  
Image Matching ◽  
Range Image ◽  
Real Scene

Object Recognition of Ladar Range Image Using Combined Moment Invariants

2012 ◽  
Vol 39 (6) ◽  
pp. 0609002
Author(s):  
刘正君 Liu Zhengjun ◽  
李琦 Li Qi ◽  
王骐 Wang Qi
Keyword(s):  
Object Recognition ◽  
Moment Invariants ◽  
Range Image
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