Keywords
Artificial intelligencePattern recognition (psychology)Computer visionComputer scienceObject (grammar)Local structureGaussianIdentification (biology)MathematicsClass (philosophy)Joint (building)
Affiliated Institutions
Related Publications
Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study
Recently, methods based on local image features have shown promise for texture and object recognition tasks. This paper presents a large-scale evaluation of an approach that rep...
Class segmentation and object localization with superpixel neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
PCA-SIFT: a more distinctive representation for local image descriptors
Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid (June 2003) rec...
YOLO9000: Better, Faster, Stronger
We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements to the YOLO detec...
Video Google: a text retrieval approach to object matching in videos
We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a s...
Publication Info
- Year
- 2000
- Type
- article
- Volume
- 36
- Issue
- 1
- Pages
- 31-50
- Citations
- 392
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
392
OpenAlex
Cite This
Bernt Schiele,
James L. Crowley
(2000).
Recognition without Correspondence using Multidimensional Receptive Field Histograms.
International Journal of Computer Vision
, 36
(1)
, 31-50.
https://doi.org/10.1023/a:1008120406972
Identifiers
- DOI
- 10.1023/a:1008120406972