Abstract: A resistor which is able to have a reduced thickness for an insulating substrate and in which occurrence of cracking is able to be suppressed during production of the insulating substrate, the production of the resistor and mounting of the substrate, and in which the safety of a medical device is increased by forming the insulating substrate using a biocompatible material; and a temperature sensor are provided. This resistor is provided with: an insulating substrate that has a bending strength of 690 MPa or more and a thickness of 10 to 100 ?m; a resistive film that is formed on the insulating substrate; at least a pair of electrode layers, that are electrically connected to the resistive film; and a protective film that covers a region where the resistive film is formed, while forming exposure portions so that at least parts of the electrode layers are exposed therein.

Abstract: A resistor which is able to have a reduced thickness for an insulating substrate and in which occurrence of cracking is able to be suppressed during production of the insulating substrate, the production of the resistor and mounting of the substrate, and in which the safety of a medical device is increased by forming the insulating substrate using a biocompatible material; and a temperature sensor are provided. This resistor is provided with: an insulating substrate that has a bending strength of 690 MPa or more and a thickness of 10 to 100 ?m; a resistive film that is formed on the insulating substrate; at least a pair of electrode layers, that are electrically connected to the resistive film; and a protective film that covers a region where the resistive film is formed, while forming exposure portions so that at least parts of the electrode layers are exposed therein.

Abstract: A vehicle control apparatus includes a first electric motor, a second electric motor, a power storage device, a first consumption amount calculator, a first saving amount calculator, a saving balance calculator, and a display controller. The first consumption amount calculator calculates a first fuel amount consumed by the engine owing to charging when the power storage device is charged. The first saving amount calculator calculates a first fuel amount saved by the engine owing to discharge when the power storage device is discharging. The saving balance calculator calculates, based on the first fuel amount consumed and the first fuel amount saved, a fuel saving balance for each calculation period. The display controller controls, based on the fuel saving balance, fuel saving information to be displayed on a display.

Abstract: A vehicle control apparatus includes a first electric motor, a second electric motor, a power storage device, a first consumption amount calculator, a first saving amount calculator, a saving balance calculator, and a display controller. The first consumption amount calculator calculates a first fuel amount consumed by the engine owing to charging when the power storage device is charged. The first saving amount calculator calculates a first fuel amount saved by the engine owing to discharge when the power storage device is discharging. The saving balance calculator calculates, based on the first fuel amount consumed and the first fuel amount saved, a fuel saving balance for each calculation period. The display controller controls, based on the fuel saving balance, fuel saving information to be displayed on a display.

Abstract: An image processing apparatus includes a red eye candidate detecting section, a gold eye candidate detecting section, and a red eye-gold eye-correcting section. Herein, the red eye candidate detecting section detects a red eye candidate, which is an area of a color included in a color range of a predetermined red color, from image by using a detecting threshold value differentiating a red eye from a gold eye. The gold eye candidate detecting section detects a gold eye, which is an area of a color included in a color range of a predetermined gold color that is not overlapped with a color range of the predetermined red color, from image by using the detecting threshold value.

Abstract: There is provided a red eye detecting apparatus including a red eye region designating section that causes a user to designate a red eye region in an image so as to obtain a designated red eye region, a red eye searching region determining section that determines a red eye searching region including therein the designated red eye region which is obtained by the red eye region designating section, a red eye candidate detecting section that searches for red eye within the red eye searching region which is determined by the red eye searching region determining section, to detect one or more red eye candidates, a face position detecting section that detects one of a position of a face and a position of an area of the face other than eyes within the red eye searching region which is determined by the red eye searching region determining section, and a red eye position judging section that selects, from the red eye candidates detected by the red eye candidate detecting section, a red eye candidate that is positione

Abstract: An image processing apparatus includes a red eye candidate detecting section, a red eye-gold eye separating section, a gold eye converting section, and a red eye correcting section. Herein, the red eye candidate detecting section detects a red eye candidate included in images. The red eye-gold eye separating section judges whether a red eye candidate detected by the red eye candidate detecting section is either red eye or a gold eye respectively specified in a predetermined color range. The gold eye converting section converts a color of the red eye candidate, which was judged as red eye by the red eye-gold eye separating section, into a color, which is judged as a red eye by the red eye-gold eye separating section. The red eye correcting section performs a red eye correction to a color of the red eye candidate converted by the gold eye converting section.

Abstract: An image processing apparatus includes: an image processing section that performs a predetermined image processing on the image; a first performance information acquiring section that acquires a first performance information including information regarding a time for which the image processing section performs the predetermined image processing on the image; a second performance information acquiring section that acquires a second performance information including information regarding a time for which any image processing apparatus other than the image processing apparatus performs the predetermined image processing on the image; a performance comparison section that compares the first performance information acquired by the first performance information acquiring section with the second performance information acquired by the second performance information acquiring section; a processing apparatus selecting section that selects which of the image processing section of the image processing apparatus or the o

Abstract: A particular-region such as red-eye region of a person in an image is detected at a high speed by a particular-region detection apparatus, as follows. At first, a region of the image satisfying detection conditions for particular region candidates is detected as a particular region candidate. Next, a face region of a first person is detected and the particular region candidate is specified as a particular region to be detected on condition that the particular region candidate is included in the detected face region. Then, face information regarding a face of the first person obtained when the face region is detected is stored. When a face region of a second person is further detected in the image or other image after storing of the face information, the face information is accessed and recalled and the face region of the second person is detected by using the face information as a face detection condition.

Abstract: An image processing apparatus includes a red eye candidate detecting section, a red eye-gold eye separating section, a gold eye converting section, and a red eye correcting section. Herein, the red eye candidate detecting section detects a red eye candidate included in images. The red eye-gold eye separating section judges whether a red eye candidate detected by the red eye candidate detecting section is either red eye or a gold eye respectively specified in a predetermined color range. The gold eye converting section converts a color of the red eye candidate, which was judged as red eye by the red eye-gold eye separating section, into a color, which is judged as a red eye by the red eye-gold eye separating section. The red eye correcting section performs a red eye correction to a color of the red eye candidate converted by the gold eye converting section.

Abstract: There is provided a red eye detecting apparatus including a red eye region designating section that causes a user to designate a red eye region in an image so as to obtain a designated red eye region, a red eye searching region determining section that determines a red eye searching region including therein the designated red eye region which is obtained by the red eye region designating section, a red eye candidate detecting section that searches for red eye within the red eye searching region which is determined by the red eye searching region determining section, to detect one or more red eye candidates, a face position detecting section that detects one of a position of a face and a position of an area of the face other than eyes within the red eye searching region which is determined by the red eye searching region determining section, and a red eye position judging section that selects, from the red eye candidates detected by the red eye candidate detecting section, a red eye candidate that is positione

Abstract: The particular region detecting method and apparatus detect particular region candidates in an image, then perform face detection in a region including one of the detected particular region candidates and specify as a particular region of a detection target the one candidate included in the region where a face can be detected. In the method and apparatus, detection conditions is changed for at least one of the candidate detection and the face detection between main and non-main portion regions of the image, face information regarding the face detected in the region is stored and the face detection corresponding to a particular region candidate to be next subjected to the face detection is performed using the thus stored face information. The program is caused a computer to execute the method.

Abstract: In the invention, a particular-region such as red-eye region of a photographed image is detected, the image including a person as an object. At first a particular region candidate satisfying detection conditions for the particular region candidate is detected from the image. Then, a face region of the person satisfying detection conditions for the face region of the person is detected and the particular region candidate is specified as a particular region to be detected, in a condition that the particular region candidate is included in the detected face region. On the other hand, the image is divided into first and second regions at least before the detecting of the face region of the person. The detection conditions used for the detection for the particular region candidate or the detection for the face region of the person are changed between the first region and the second region of the image.

Abstract: An aspect of the present invention provides an image processing apparatus, comprising: a monitor which displays various information; an input device with which a user performs an input operation; an identification device which identifies the user who has performed the input operation with the input device; an image reading device which reads images; an image selection device which, according to the input operation with the input device, selects an image which is a predetermined processing target, from the images read by the image reading device, the image selection device identifying a plurality of users who have performed input operations for selecting images, by the identification device, and selecting the image which is the processing target, for each of the users who have performed the input operations for selecting the images; and a processing device which executes a process with the image selected by the image selection device as the processing target.

Abstract: An image processing apparatus includes a red eye candidate detecting section, a gold eye candidate detecting section, and a red eye-gold eye-correcting section. Herein, the red eye candidate detecting section detects a red eye candidate, which is an area of a color included in a color range of a predetermined red color, from image by using a detecting threshold value differentiating a red eye from a gold eye. The gold eye candidate detecting section detects a gold eye, which is an area of a color included in a color range of a predetermined gold color that is not overlapped with a color range of the predetermined red color, from image by using the detecting threshold value.

Abstract: A red-eye detection device includes a red-eye candidate detection section, a red-eye pair specification section, and an isolated red-eye candidate check section. The red-eye candidate detection section detects a red-eye candidate that can be estimated to be a red-eye, by identifying a feature of the pupil that has a region displayed red from among features of an image. The red-eye pair specification section specifies the red-eye candidate as a pair of a right red-eye candidate equivalent to a right eye and a left red-eye candidate equivalent to a left eye, using information on a face region obtained from the image. The isolated red-eye candidate check section checks whether an isolated red-eye candidate, detected by the red-eye candidate detection section but not specified as the pair by the red-eye pair specification section, is a true red-eye.

Abstract: An image processing apparatus includes: an image processing section that performs a predetermined image processing on the image; a first performance information acquiring section that acquires a first performance information including information regarding a time for which the image processing section performs the predetermined image processing on the image; a second performance information acquiring section that acquires a second performance information including information regarding a time for which any image processing apparatus other than the image processing apparatus performs the predetermined image processing on the image; a performance comparison section that compares the first performance information acquired by the first performance information acquiring section with the second performance information acquired by the second performance information acquiring section; a processing apparatus selecting section that selects which of the image processing section of the image processing apparatus or the o

Abstract: The image processing method and apparatus perform image processing on acquired image data. The method and apparatus detect a face from an image represented by the acquired image data and/or executing scene identification of the image, modify processing conditions for special processing to be performed in accordance with results of face detection and/or the scene identification, perform automatically predetermined common image processing on the image data and perform the special processing on the image data based on the modified processing conditions for the special processing. The special processing is different from the predetermined common image processing and image processing to be executed in accordance with designation from an external. The image processing program executes the above image processing method on a computer.

Abstract: The particular region detecting method and apparatus detect particular region candidates in an image, then perform face detection in a region including one of the detected particular region candidates and specify as a particular region of a detection target the one candidate included in the region where a face can be detected. In the method and apparatus, detection conditions is changed for at least one of the candidate detection and the face detection between main and non-main portion regions of the image, face information regarding the face detected in the region is stored and the face detection corresponding to a particular region candidate to be next subjected to the face detection is performed using the thus stored face information. The program is caused a computer to execute the method.

Abstract: A red-eye detection device includes a red-eye candidate detection section, a red-eye pair specification section, and an isolated red-eye candidate check section. The red-eye candidate detection section detects a red-eye candidate that can be estimated to be a red-eye, by identifying a feature of the pupil that has a region displayed red from among features of an image. The red-eye pair specification section specifies the red-eye candidate as a pair of a right red-eye candidate equivalent to a right eye and a left red-eye candidate equivalent to a left eye, using information on a face region obtained from the image. The isolated red-eye candidate check section checks whether an isolated red-eye candidate, detected by the red-eye candidate detection section but not specified as the pair by the red-eye pair specification section, is a true red-eye.