1. The company focuses on image object recognition.

2. Object recognition based on shape is an embranchment of X - ray detection techniques.

3. Perception: Visual Scene Analysis, Object Recognition, Auditory Scene Analysis, Depth Perception, Stereo Vision, Stereograms.

4. In object recognition memory experiments with rats, we found that memory impairment can take the opposite form: a tendency to treat novel experiences as familiar.

5. The object recognition task in KM mice, which is simple, rapid, and reliable, should be of great use in safety pharmacology to detect amnesic properties of new compounds.

6. Object recognition application for identifying similar objects corresponding to input image has been tested.

7. The researchers controlled for differences in vision, general object recognition and memory.

8. This paper redefines depth map object recognition in precise mathematical terms as a generalized inverse set mapping.

9. One important problem in image - based object recognition is to extract image features exactly and reliably.

10. All the current geometric hashing methods are just suitable for the object recognition under affine transformation.

11. The paper combines the mathematical morphology and watershed algorithm to bring out new object recognition method.

12. By optimizing the initial image capture stage, using liquid crystal light valve to make a simple modification of the imaging system[sentencedict.com], the goal of high object recognition is achieved.

13. Optical pattern recognition makes an important way to realize the 3D object recognition. It has a huge application and economic value in the social and military domains.

14. Secondly, based on a hierarchical sparse coding process, we present a hierarchical feature extraction method for generic object recognition.

15. We will describe in some detail psychophysics and physiology of object recognition.

15. Sentencedict.com is a online sentence dictionary, on which you can find good sentences for a large number of words.

16. Second half focuses on face recognition, an ecologically important instance of the general object recognition problem.

17. A new affine invariants based on affine geometry for object recognition and matching is proposed in the paper.

18. The invariant moment minimum distance classifier is used to complete the vehicle-logo recognition and the experiment result shows that the accuracy of the object recognition is improved by 20 percent.

19. It also plays an important role in image restoration, feature extraction, as well as object recognition.

20. This theory is very useful to conduct in-depth depth research on; depth map object recognition.

21. Edges and corners contain the maximal amount of information necessary for object recognition.

22. Image matching machine is an important part of the object recognition system.