Unsupervised scene classification based on context of features for a mobile robot
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Exploiting depth information for indoor-outdoor scene classification
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Efficient and Effective Visual Codebook Generation Using Additive Kernels
The Journal of Machine Learning Research
Histogram of Oriented Uniform Patterns for robust place recognition and categorization
International Journal of Robotics Research
Color CENTRIST: a color descriptor for scene categorization
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Scene classification using a multi-resolution bag-of-features model
Pattern Recognition
Hierarchical Classifiers for Robust Topological Robot Localization
Journal of Intelligent and Robotic Systems
Randomized spatial partition for scene recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Learning hybrid part filters for scene recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Latent pyramidal regions for recognizing scenes
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Scene recognition on the semantic manifold
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Sparse discriminative Fisher vectors in visual classification
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
An HOG-CT human detector with histogram-based search
Multimedia Tools and Applications
Exclusive visual descriptor quantization
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Object templates for visual place categorization
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
An improvement to the SIFT descriptor for image representation and matching
Pattern Recognition Letters
Building holistic descriptors for scene recognition: a multi-objective genetic programming approach
Proceedings of the 21st ACM international conference on Multimedia
Superpixel segmentation based structural scene recognition
Proceedings of the 21st ACM international conference on Multimedia
Human-inspired features for natural scene classification
Pattern Recognition Letters
The imageCLEF plant identification task 2013
Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data
Adaptive timeline interface to personal history data
Proceedings of the 15th ACM on International conference on multimodal interaction
Robotics and Autonomous Systems
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CENsus TRansform hISTogram (CENTRIST), a new visual descriptor for recognizing topological places or scene categories, is introduced in this paper. We show that place and scene recognition, especially for indoor environments, require its visual descriptor to possess properties that are different from other vision domains (e.g., object recognition). CENTRIST satisfies these properties and suits the place and scene recognition task. It is a holistic representation and has strong generalizability for category recognition. CENTRIST mainly encodes the structural properties within an image and suppresses detailed textural information. Our experiments demonstrate that CENTRIST outperforms the current state of the art in several place and scene recognition data sets, compared with other descriptors such as SIFT and Gist. Besides, it is easy to implement and evaluates extremely fast.